• Deliver enterprise solutions at scale for commercial products and deliver the next generation of payments
• Identify appropriate technical solutions and/or products and designs that will best prepare the company to meet present and future business objectives
• Design the most appropriate solution with well-understood trade-offs that meet the business requirements
• Propose new solutions to meet the fast-changing payments industry landscape
• Document the solution designs clearly and with enough details so delivery and execution teams can size the effort
• Perform proof of concept to evaluate new and emerging technologies, design patterns, and proposed solutions
• Work with engineering professionals, fellow software architects, and others within Visa to ensure that proposed solutions will scale appropriately and that the implementation will be a cost-effective solution
• Manage the creation of several artifacts relating to the detailed design and use cases that are solved for
• Collaborate with data engineers and provide technical guidance during the construction phase of a project
• Continue to learn about the payments industry and the factors impacting the payments industry

Skills: Solution Architecture, Payment Platforms, Technology Assessment, Rapid Prototyping, Scalable Design, Technical Specs, Cost Control, Engineering Collaboration

• Identify opportunities for further enhancements and refinements to standards and processes
• Fine-tune the existing application with new ideas and optimization opportunities to reduce the latency to meet the client SLAs
• Mentor the data engineers, and closely work with them and platform leaders to develop departmental procedures and best practices standards
• Lead the data architecture and related technical strategies in the areas of data management, data platform, business analytics, data catalog, data quality, ETL, enrichment and data integration
• Passionate about designing, maintaining and documenting data models (conceptual/physical) based on functional areas, enabling effective and timely enterprise analytics
• Build a data strategy to enable both short-term and long-term needs for an extensible, trustworthy, and modern data architecture capable of evolving with changing needs
• Lead initiatives like implementing a data quality framework, a data catalog, data governance and improving engineering productivity
• Contribute to solution scoping and effort sizing with a cross-functional team
• Stay informed on technology trends and product roadmaps to make informed solution architecture recommendations
• Lead/Work with multiple scrum teams with data engineers to provide solutions and drive ideas to activate them for the clients

Skills: Data Architecture, Data Strategy, Performance Optimization, Data Governance, ETL Integration, Data Modeling, Technical Leadership, Agile Collaboration

• Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business enablement, maximizes reuse, and protects the ecosystem
• Architect solutions for Performance, Availability, Reliability, Security and Cost
• Develop a comprehensive data architecture capable of supporting various data types (structured, semi-structured, unstructured) and analytics needs from reporting to machine learning
• Provide a standard common business vocabulary, express strategic requirements, outline high-level integrated design to meet those requirements, and align with enterprise strategy and related business architecture
• Collaborate with business, product, and technology teams early in the product lifecycle to influence end-to-end architecture, including functional and non-functional aspects, with a keen eye for data quality, data integrity and data availability
• Create strategies for data transformations and analysis for clinical, image, device, wearable, and demographic data
• Evaluate and implement a variety of data tools (Python, SQL, NoSQL, Talend, Snowflake/Synapse) on Azure to build ETLs/ELTs and data models
• Drive proofs-of-concept initiatives, rapid prototyping with the intent of validating hypotheses
• Research and evaluate the best-of-breed technologies to inform data architecture decisions, build vs. buy, and cost/benefit analysis
• Drive platform automation to promote continuous integration/continuous delivery, test-driven development, and streamlined production deployment frameworks
• Drive collaborative reviews of design, code, data, and feature implementation to drive engineering excellence around total cost of ownership, data quality and process maintainability
• Collaborate to design, implement, and assess solutions and procedures to be compliant with data governance policies and standards

Skills: Enterprise Architecture, Data Architecture, Solution Roadmapping, Cloud Data Platforms, ETL ELT Design, Data Governance, Technology Evaluation, Scalable Systems

• Develop and document IT data models (Conceptual, Logical and Physical) to facilitate efficient and effective use of data
• Implement and maintain solutions for data architecture, governance, and metadata management
• Design, build and manage data pipelines for data structures, data transformation mapping, data flow diagrams, logical and physical data models, and metadata collection
• Work with both IT and business in developing, managing, and integrating business intelligence reporting, analytics, and data science output into business processes and workflows
• Support data strategy development and translate it into data integration frameworks to enable business analytics
• Provides a standard common business vocabulary, outlines high-level integrated designs to meet requirements, and aligns with enterprise strategy and related business architectures
• Proactively analyzes existing data structures and analytics to identify weaknesses and develop opportunities for improvements
• Accountable for developing/executing best practices for naming, governing, managing, modeling, cleansing, transforming, moving, storing, and searching all data

Skills: Data Modeling, Data Architecture, Data Governance, Metadata Management, Data Pipelines, Analytics Integration, Data Strategy, Data Quality

• Data architecture with expertise in data management, governance and controls, with the ability to drive solutions
• Engage with development teams across the enterprise to understand the data architecture needs and drive data solutions
• Acting as a subject matter expert on data architecture needs models that align with established best practices standards
• Participating in data design by defining best practices, standards and road maps
• Managing data definition, usage, quality, metrics for data attributes, data models and metadata and ensuring alignment with data architecture standards
• Adapting to the newest technologies and driving new initiatives
• Driving discussions with business analysts, technical architects and technical leads to develop data models and data architecture solutions
• Facilitating and conducting design reviews

Skills: Data Architecture, Data Governance, Data Standards, Data Modeling, Metadata Management, Solution Roadmaps, Stakeholder Alignment, Design Reviews

• Lead technical architecture initiatives for multiple value streams (e.g., Agile Release Trains) across the Digital portfolio, helping to ensure successful product deliveries
• Identify opportunities to leverage common solutions for cross-cutting concerns
• Oversee build vs buy evaluations
• Partner with key stakeholders to establish and adopt architectural best practices, guidelines, and standards
• Evangelize, mentor, and coach all on the same
• Understand the product requirement and product vision, evaluate the high-level technical feasibility, blockers or risks, lead the solution discussion, and translate them into architecture solutions
• Communicate and present the solution to business partners, leadership and the engineering team on the solution technical blueprint, and collaborate to make successful product deliveries
• Define non-Functional Requirements (e.g., performance, availability and fail-over, scalability, security, etc.)

Skills: Enterprise Architecture, Agile Leadership, Solution Design, Build Buy, Architecture Standards, Stakeholder Alignment, Risk Assessment, Nonfunctional Design

• Ensure that these are incorporated in the design and supported in the final product
• Guide engineering and other stakeholders on architectural best practices and standards
• Oversee the evolution of architectural roadmaps for the domain based on product requirements and long-term vision
• Balance various aspects like feature development, reducing technical debt and strategic architectural objectives
• Collaborate with multiple Agile value stream execution teams in guiding large solutions across multiple planning/execution cycles
• Evaluate new technologies and vendors
• Guide POCs and discovery work
• Provide guidance, direction and mentorship to Architects/Sr. Architects and other collaborators

Skills: Architecture Roadmaps, Best Practices, Technical Mentorship, Agile Collaboration, Tech Evaluation, POC Leadership, Strategic Planning, Stakeholder Guidance

• Define future state data architectures, platforms and integrations
• Work with product owners, designers and others on the creation of data architectures, including but not limited to data modeling, taxonomy, data warehousing, ELT automations and data governance
• Design, execute and monitor data governance functions
• Conduct collaboration and user feedback sessions to facilitate alignment, inspire empathy, and drive investment in the user journey
• Manage, run and evaluate aspects of the information architecture program and vision, developing roadmaps, alignment and updated processes to continually improve the BI user experience
• Independently complete projects and assignments, such as providing data architecture direction to multiple cross-functional teams, and routinely direct, supervise and approve the work of team members
• Create and share practice standards that can be utilized by team members, helping to grow informational design standards within the team and evangelize to the larger organization
• Push boundaries to improve user and technical content deliverables and processes across multiple cross-functional teams
• Develop techniques, practices and resources to help the team improve capabilities
• Provide vision and leadership for the data architecture discipline

Skills: Data Architecture, Data Modeling, Data Governance, ELT Automation, Information Architecture, BI Strategy, Cross-team Leadership, Architecture Standards

• Collaborate across the organization to identify opportunities related to data and lead the definition of a next-generation data architecture blueprint along with an execution roadmap
• Proactively own and drive conversations with business and technology groups to understand business processes, document data flows and derive reference, transactional and analytical data entities of strategic importance to T Rowe Price
• Lead a team of data architects and help establish a modern and world-class data architecture practice
• Designs strategies and programs to collect, store, analyze and model data from internal/external sources
• Drive the development and implementation of data design methods, data structures, and modeling standards
• Implement industry standard development policies, procedures and standards
• Builds, maintains and ensures departmental conceptual and logical data models
• Conduct data model assessments for strategic data entities and help data owners address data gaps
• Define strategy and data integration architecture for batch, near real-time and streaming use cases and patterns
• Design seamless data solutions and data integration patterns for Cloud Native (AWS), On-Prem or Hybrid architecture

Skills: Data Architecture, Data Modeling, Data Integration, Cloud Architecture, Data Strategy, Architecture Leadership, Modeling Standards, Data Platforms

• Drive the implementation and adoption of Single Sources of Truth(SSoT), standards and industry best practices for Data Quality, Master Management and Data Governance frameworks
• Document architecture decisions that include business needs, point of view, rationale, pros, and cons
• Apply expertise to help model structured and unstructured data for applications
• Own these models at a high level and consult with solutions delivery teams to help them model applications
• Interact with development teams to align technology priorities to provide architecture directives
• Participate in meetings to review project designs
• Lead efforts to define/refine execution standards for all data architecture, mentor teams on standards and review all designs to ensure that project teams are meeting expectations for quality and conformity
• Regularly interact with leadership on work status, priority setting and resource allocations
• Research new tools and/or new architecture and review with project teams 
• Work with the support team to define methods for implementing solutions for database performance measurement and monitoring

Skills: Data Governance, Master Data, Data Quality, Data Modeling, Architecture Standards, Technical Leadership, Design Reviews, Performance Monitoring

• Lead and line-manage the data domain architecture team, ensuring consistency and alignment with long-term business objectives and architecture principles
• Drive the strategic direction of the Group's Data Architecture and define technical direction and roadmaps for data architectural maturity
• Create, optimise, and maintain conceptual and logical database models across the data estate
• Set standards for data modelling and design tools and techniques, providing guidance on their application, and ensuring standards compliance
• Support collaboration with the Data Governance function to deliver a robust governance framework, delivering appropriate ownership, controls, and standards to protect the organisation's data
• Adapt to the cloud-first methodology for all upcoming data-related requirements/solutions
• Build effective relationships with senior technical colleagues so that there is a common understanding of goals and challenges
• Translating business requirements into technology requirements
• Defining the data flow and architecture framework, standards and principles, including modeling, metadata, and security and legal compliance
• Defining data flows from the parts of the organization producing, enriching, and consuming data
• Collaborating and coordinating with multiple departments, stakeholders, partners, and external vendors
• Spreading best practices for data architecture and modelling across the organization
• Proactively provide solutions for complex business problems, enabling insights that can empower better decision-making

Skills: Data Architecture Strategy, Data Modeling, Architecture Leadership, Data Governance, Cloud Architecture, Stakeholder Alignment, Data Flow Design, Architecture Standards

• Act as the subject matter expert for the data mesh initiative, encompassing the complete value chain across multiple business units
• Partner with Solution Architects on data design, alignment with data standards, and complex data integration efforts
• Advise on data interactions and data interdependencies between business functions and applications and recommend solutions to common business problems
• Support end-to-end data lifecycle management activities
• Advice on best practices for Data Visualization, Data Discovery, and emerging Data Management Technology
• Develop and maintain a conceptual/logical Enterprise Data Model in a data modelling tool
• Lead the design and development activities for cross-functional data management initiatives/projects
• Evangelize data standards to key business and IT stakeholders
• Assist with data platform performance tuning and physical data model support
• Monitor project progress by tracking activity, resolving problems, publishing progress reports, and recommending actions

Skills: Data Mesh, Data Modeling, Data Integration, Data Lifecycle, Enterprise Data Model, Data Standards, Data Platforms, Technical Leadership

• Prepare technical reports by collecting, analyzing, and summarizing information and trends
• Validate resource requirements and develop cost estimate models
• Interpret, evaluate, and interrelate research data and develop integrated business analyses and projections for incorporation into strategic decision-making
• Perform daily, weekly, and monthly reviews and analyses of current processes using operational metrics and reports
• Understand and communicate the financial and operational impact of any changes
• Suggest changes to senior management using analytics to support recommendations
• Actively participate in the implementation of approved changes
• Create informative, actionable, and repeatable reports highlighting relevant business trends and opportunities for improvement
• Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues
• Apply architectural rigor to applications, databases, and processes

Skills: Business Analysis, Cost Modeling, Operational Analytics, Financial Impact Analysis, Executive Reporting, Data Analysis, Process Optimization, Architecture Rigor

• Own the creation of data architecture standards that govern the production of data models across Mintel, and the review processes that ensure their proper implementation
• Become an expert in Mintel’s data structures, working with technical and non-technical subject matter experts to document existing data assets
• Take ownership of the data repository based on SAP PowerDesigner, taking responsibility for the organisation of data assets and ensuring they drive the physical implementations of warehouse structures
• Drive the glossary and metadata cataloguing efforts for data assets
• Partner with the data governance team to define the data structures for reference and master data, working with operational teams to master initial versions of this data
• Help to identify and define data management best practices in areas such as data privacy and data quality
• Drive data analytics best practices through education and collaboration with development teams
• Collaborate with stakeholders to create conceptual, logical, and physical data models and generate mapping documents that show how data can be transformed between them
• Work with data engineering teams to support the implementation of physical data models and transformation pipelines
• Support data analysis delivery by driving best practices and assisting in the development of models used in the production of visualisations and dashboards using Looker
• Evaluate and profile existing data systems, helping to identify and troubleshoot any issues that arise in terms of modelling and performance

Skills: Data Architecture Standards, Data Modeling, Metadata Management, Data Governance, Master Data, Analytics Enablement, Data Engineering, Data Quality

• Provide technical and thought leadership, strategic thinking and architectural direction on data projects and studies within Finance IT
• Implement the future state data architecture visions for the program, and create clear data architecture solution choices, to provide analysis on the benefits/challenges
• Provide data architecture support to each program release 
• Aid in the creation and maintenance of the Finance Technology Reference Data Strategy
• Working closely with Finance, Change and Operations Teams
• Provide support for the identification of suitable reference data management tooling within Finance IT
• Define and communicate commercially aware architecture designs for data solutions in accordance with data design authority governance and CDO standards
• Work closely with the project teams, CDO, DAO, FCD and other stakeholders to meet data management and data integrity control objectives

Skills: Data Architecture Leadership, Reference Data, Data Strategy, Architecture Governance, Finance Systems, Stakeholder Collaboration, Data Integrity, Solution Design

• Identify and seek opportunities to simplify, innovate, automate and improve Finance IT’s ability to conform more easily to data controls (Data Modelling, DORA MVP and Roadmap)
• Identify operational and delivery risks
• Provide governance on data architecture for the business domains under responsibilities, data standards and target operating models for data activities
• Put in place checks and balances on the products and features delivered by Finance IT Pods to ensure that they adhere to and complement data architecture standards and principles
• Represent at key group forums (refinery working groups, GDDA, data management working groups, Polaris, trusted source framework working groups, etc.)
• Construct and maintain data models, including working closely with FCDP to enable seamless implementation of the data model into production
• Ensure that data architecture results are compliant with the stated requirements, approved technologies, best practices and group strategies
• Represent at FCDA to provide data approvals

Skills: Data Architecture Governance, Data Modeling, Risk Management, Finance IT, Data Standards, Architecture Compliance, Operating Models, Data Controls

• Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
• Lead other data architects in delivering robust and reusable data models to support analytics across the institution
• Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
• Create an end-to-end vision on how logical design translates into one or more physical databases and how the data will flow through the successive stages
• Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement
• Develop standards for data ingestion pipelines, ETL/ELT and mapping of data from data sources to the Enterprise Data Warehouse
• Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving
• Ensure that data strategies and architectures are in regulatory compliance
• Select and implement the appropriate tools, software, applications, and systems to support data technology goals

Skills: Data Architecture Strategy, Data Modeling, Data Roadmaps, Data Flow Design, Data Quality, ETL, Data Security, Platform Selection

• Oversee the mapping of data sources, data movement, interfaces, and analytics, to ensure data quality
• Create and maintain data model and metadata policies and procedures for functional design
• Provide technical recommendations and engage with Solutions Architects, Business SMEs and other stakeholders throughout the analytics implementation lifecycle and recommend effective solutions
• Develop high-performance and highly scalable data solutions (data marts/warehouses and data mining and advanced analytics)
• Address data-related problems in regards to systems integration, compatibility, and multiple-platform integration
• Develop and implement key components to create testing criteria to guarantee the fidelity and performance of the data architecture
• Document the project and program's data architecture and environment to maintain a current and accurate view of the larger data picture, an environment that supports a single version of the truth and is scalable to support future analytical needs
• Identify and develop opportunities for data reuse, migration, or retirement and platform upgrades
• Communicate with the customer and project team promptly and escalate issues and risks appropriately

Skills: Data Architecture, Data Modeling, Data Integration, Scalable Analytics, Data Quality, Architecture Testing, Metadata Management, Stakeholder Communication

• Manage the entire learning and development data lifecycle from team member learning interactions to consolidated insights that help to improve the overall experience for Restaurant Team Members with Chick-fil-A’s learning platforms
• Responsible for designing enterprise data pipelines that load Chick-fil-A learning experiences into a Learning Record Store (LRS) and an organizational Data Lake
• Interpret the language and objectives of business stakeholders into scalable data and analytic solutions
• Conceptualize, visualize, design and model how enterprise learning and development data is used in analytics within the Chick-fil-A Analytics ecosystem and framework
• Architect enterprise data pipeline solutions optimized and curated for analytics on learning and development data, with scalability in mind
• Communicate and present information in a non-technical manner to internal customers and business stakeholders
• Enable visibility into how analytics data is being used and who has access to the organization’s learning and development data
• Prove out new analytics capabilities within the Learning and Development Ecosystem

Skills: Data Architecture, Data Pipelines, Analytics Design, Data Modeling, Learning Analytics, Stakeholder Communication, Data Governance, Scalable Solutions

• Collaborate with Data Science and business stakeholders to define the strategy and architecture for core data models and analytics infrastructure to achieve business and mission outcomes
• Design data models with an extensible philosophy to support future use cases
• Ensure the consistency of data across systems, working with teams to prevent unnecessary redundancy and promote clear identification of single sources of truth
• Collaborate with the platform engineering team on data warehouse schema designs and the structure of optimal data pipelines
• Responsible for optimization and service management of Snowflake data warehouse, including logs, backups, restores, and ongoing maintenance
• Create and propose technical design documentation which includes current and future functionality, database objects affected, specifications, flows and diagrams to detail the proposed implementation
• Evolve data flows and data models as business needs change and new systems are integrated
• Collaborate, mentor and guide a team of innovative data scientists, analysts and data engineers working on core pieces of data infrastructure, pipelines, and the data models underlying all products and operations

Skills: Data Modeling, Analytics Architecture, Data Governance, Snowflake Optimization, Data Warehousing, ETL Pipelines, Technical Documentation, Cross-functional Collaboration

• Experience in the IT space, specializing in Database Design, Data Architecture, Data Engineering, and Data Governance
• Expert-level, hands-on skills in writing complex SQL code using Microsoft SQL Server
• Experience with reporting visualization tools such as Tableau, Power BI, etc.
• Strong business acumen in Marketing and eCommerce
• Ability to scope complex projects and optimize solution delivery timelines, leveraging the strengths of the team
• Demonstrated strength in examining issues, driving resolution and influencing effectively across the organization
• Ability to challenge the status quo in technology and architecture
• Superb interpersonal and communication skills (oral and written)
• Ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists
• Experience implementing Marketing Databases and/or Customer Data Platforms
• Experience with Big Data and Data Science
• Experience with Data Clouds such as Amazon Redshift, Snowflake, etc.
• Experience with Python, R, and/or C# .NET development

Qualifications: BS in Data Analytics with 7 years of Experience

• Highly technical and from a data or technology background
• Working experience in analysing and designing data solutions and knowledge of Integration methods (message Queues, managed file transfer)
• Working knowledge of Google Cloud and Azure - data lakes and technologies can be leveraged to visualize data
• Demonstrable knowledge of the process of data architecture and vendor interactions
• Demonstrable capability to present to board members
• Well-organised, enthusiastic, creative and motivated delivery-focused architect with experience across several disciplines and business areas
• Comfortable working across a range of business domains to plan and design a range of digital and data-led products the voice of data to business partners and vendors
• Experience in technical leadership
• Expertise in designing data-driven solutions with connections to exchanges and data feeds
• Proven experience within the financial software architecture domain with a specific focus on Data Integration, Data Provisioning and Data Management
• Ability to quickly acquire new technical skills
• Strong technical mentoring skills
• Full working proficiency in English

Qualifications: BS in Artificial Intelligence with 6 years of Experience

• Excellent technical skills
• Excellent written and verbal communication skills
• Understanding of management methods and processes (Waterfall, Agile)
• Capability of supporting all types of initiative teams by providing advice and guidance on opportunities, impact, and risks, taking account of technical and architectural debt
• Ability to connect across disparate parts of the organization
• Understand domain implications of enterprise data priorities
• Must have strong leadership skills
• Knowledge of all components of an enterprise technical architecture
• Excellent understanding of data Systems Development Life Cycle (SDLC), application development methodologies, cybersecurity, infrastructure, and network architecture
• Prior experience working with distributed teams

Qualifications: BS in Computer Science with 4 years of Experience

• In-depth experience designing and implementing information solutions
• Proficiency in programming (Java/Python) and design principles
• Deep knowledge and proven experience with developing conceptual, logical, and physical data modeling for both RDBMS and NoSQL Databases
• Hands-on experience with developing real-time and batch data pipelines involving Big Data and NoSQL (with Hadoop and Cassandra)
• Experience with implementing Data Privacy Regulations like GDPR, CCPA, etc.
• Experience and expertise in data architecture concepts (e.g., model management, metadata management, data governance)
• Experience delivering concurrent, large information management projects at all phases-from project definition through design and delivery
• Experience developing a data strategy and working within and influencing the associated policies

Qualifications: BS in Information Systems with 5 years of Experience

• Experience in IT and in a business consulting type role
• Experience leading a team of architects
• Demonstrated ability to solicit opinions, accept feedback
• Experience in operating effectively as part of cross-functional teams
• Demonstrated understanding of team dynamics and a desire to improve team effectiveness
• Experience in modelling and communicating models as a means of articulating concepts in Architecture
• Significant design experience or experience in guiding design
• Experience in working across several technical domains with the ability to ‘deep dive’ and ensure correct solutions are implemented
• Ability to deliver convincing presentations that provide significant insight and generate consensus and buy-in
• Strong experience in data architecture, solutions architecture and analytics and information management involving Hadoop, Spark, Pega,
• Must have Industry certification(s) in at least one technology domain
• Must have Project Management formal Training/Certification
• Must have Business Analyst formal Training/Certification(s)

Qualifications: BS in Software Engineering with 7 years of Experience

• In-depth knowledge in Data Warehouse, Data Mining, Data Science Methodology, ETL/ELT, Hadoop, Big Data, AI / Machine Learning, Data Governance, data, and API / Microservices
• Excellent communication and interpersonal skills, with strong oral, written and presentation skills
• Strong analytical, problem-solving, negotiation, and influencing skills and possesses logical and critical thinking in architecture
• Expert level of relevant IT architecture, strategy or solution design experience in a delivery role in a financial services environment
• Proficiency in both English and Chinese, Putonghua speaking 
• Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and microservice architecture
• Proficiency in tools/languages such as Python, JAVA, Scala, SQL (T-SQL, PL/SQL, Spark SQL), Data Factory, Talend Data Integration/MDM/Catalog
• Particularly expertise in performance optimization of analytics workloads - persistence (hdfs/object storage), storage formats (Parquet/ORC), compression, partitioning, Query layer optimization, etc.
• In-depth knowledge of databases (SQL, NoSQL), data modeling, modern ETL processes (batch, lambda, delta) and distributed computing frameworks
• Experience working in a scrum/agile environment, associated tools (Jira), and code management/versioning (e.g., git)
• Excellent written and verbal communication skills
• Ability to prioritize multiple tasks in a fast-paced environment

Qualifications: BS in Information Technology with 9 years of Experience

• Possess in-depth knowledge of enterprise data architecture in a wide range of technical platform environments
• Experience in developing strategies impacting the planning and delivery of IT services offered to internal clients, including Metadata and/or Master Data Management problems
• Significant experience in leading teams of data engineers, data scientists, and/or analysts to initiate and complete data projects in a highly visible setting
• Strong working knowledge of data fabric architectures, data analytics, big data platforms, and data visualization
• Solid understanding of software engineering principles, design methodologies, technology architecture, and best practices in the IT industry
• Strong data management and integration skills to provide cost-effective solutions to business outcomes
• Solid understanding of Agile methodologies, with a strong background working in an Agile development environment, collaborating with development and architecture teams
• Strong working knowledge of major cloud service providers such as AWS and their technical service stacks
• Experienced in automating operations and workflow procedures for data transformations
• Ability to obtain DoD Secret Clearance
• Experience in adopting AI/ML technologies and applying them to enterprise data sets
• Experience in service-oriented architecture, web services, and API development
• Prior knowledge and professional experience working within DODAF frameworks

Qualifications: BS in Computer Engineering with 8 years of Experience

• Knowledge and experience with a large-scale agile implementation such as Scaled Agile Framework (SAFe), Scrum@Scale (SAS), or Large Scale Scrum (LeSS)
• Hands-on experience leading large-scale data management, warehousing, or analytics projects
• Demonstrated industry leadership in the fields of database design and development, data warehousing, or data sciences
• Strong communication and data presentation skills
• Motivation to achieve results in a fast-paced environment
• Strong attention to detail
• Experience with web service development and managing the data access tier
• Proficiency in SQL Server and Oracle database
• End-to-end vision and experience in data analysis, data migration tools, data modeling, data integration, data warehousing and database design
• Must be able to meet the requirements to hold a position of public trust

Qualifications: BS in Mathematics with 5 years of Experience

• Solid experience in Enterprise Data Warehouse integration and reporting, developing modern data platform solutions, data governance, architecture frameworks and processes
• Technical leadership and the ability to work with a wider group of architects, application teams and business teams to define and socialise architectural concepts and approaches
• Data architecture role(s) in major finance transformation programmes within the Finance sector
• Knowledge of end-to-end finance data, e.g., source systems, accounting engines, sub-ledgers, data integration layers, analytics and reporting platforms
• Knowledge of defining principles and guidelines for the design and management of finance data entities, finance data models and attributes across the Finance systems landscape
• Experience of working with existing finance logical data model from package vendors (e.g., Teradata and IBM) and new cloud technologies such as GCP, AWS and Azure
• Understanding how the finance sector can leverage distributed systems and real-time data streams, e.g., for governing and managing their key master data model, etc.
• Demonstrated experience leading teams and leading medium to large data projects end-to-end
• Working experience in Technology Consulting 
• Client relationship management experience at a senior level
• Excellent communication, leadership and interpersonal skills
• Growth and a continuous learning mindset

Qualifications: BS in Statistics with 7 years of Experience

• Experience in productionizing applications and Big Data platforms
• Experience in a Data or Software Engineering role, who has attained a BS in Computer Science or a related field
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytical skills related to working with unstructured datasets
• Experience with architecting streaming ingestion using tools like Kafka or Kinesis
• Working knowledge of message queuing and highly scalable ‘big data’ data stores
• Strong project management, communication and organizational skills

Qualifications: BS in Applied Mathematics with 6 years of Experience

• Working experience in data, data architecture, data modeling, data governance, data quality, data stewardship, and/or related disciplines
• Demonstrated success in roles of continued responsibility, starting with hands-on technical engineering-type work
• Expert-level knowledge of leading data solutions such as Oracle, SQL Server, DB2, HANA, etc.
• Knowledge and demonstrated implementation expertise of leading Big Data and Data Science technologies such as Hadoop, Azure, Python, R, etc., and NoSQL databases such as MongoDB
• Implementation experience with leading reporting/visualization solutions such as Qlik, Tableau, and/or PowerBI
• Knowledge of modern IT SDLC methods and DevSecOps and CI/CD
• Working knowledge of Enterprise Architecture
• Experience in creating IT Roadmaps, Business Cases, and Capital Requests
• Prior experience in a technical team leadership role, either within Corporate IT or a Systems Integrator
• Strong communication skills (both oral and written)

Qualifications: BS in Business Analytics with 5 years of Experience

• Experience with Linux
• Experience with object-oriented/object function scripting languages such as Python, Scala, Java 8, etc.
• Experience with big data tools such as Apache Spark, Presto, Impala, etc.
• Experience with relational SQL and NoSQL databases, including Redshift, Postgres/Netezza, MySQL and Elasticsearch
• Experience with AWS cloud services such as EC2, EMR, EKS (Kubernetes), S3, Elasticache, Lambda, API Gateway, and Glue ETL 
• Experience with infrastructure as code utilizing Terraform
• Experience with BI tools such as Kibana, Apache Superset, Tableau, Grafana, etc.
• Experience with RESTful API and Docker 
• Experience or more in Data Architecture/similar
• Solid understanding and experience of working with dimensional data models
• Deep understanding of data quality, master data management and data warehouses
• Excellent understanding of business use cases for analytics and how to provide the data
• Excellent stakeholder management and influencing skills

Qualifications: BA in Economics with 8 years of Experience

• Experience with large-scale, distributed data pipelines, as well as data management, modeling, and storage (structured and unstructured stores)
• Demonstrated experience in architecting and implementing a Data Warehouse using Snowflake or Synapse
• Experience in Data Migration from RDBMS to cloud data warehouse (Snowflake or Synapse)
• Proven understanding of data governance, data quality, reusable frameworks, and decision support systems design principles
• Deep understanding of modern data engineering practices including scalability, distributed computing, Azure/AWS/GCP cloud infrastructure, containerization, etc.
• Proven ability to inspire confidence, create executive presentations and guide strategic discussions with senior management
• Ability to understand and adapt to changing business priorities and technology advancements
• Ability to operate in a multifaceted and fast-paced environment, building strategy while executing tactics, including hands-on contributions
• Proven track record of collaboration with technology leaders and business partners to drive impact
• In-depth, hands-on experience using structured and unstructured data as well as key data technologies, including Azure, Snowflake, Talend, Airflow, Kafka, Spark, etc.

Qualifications: BA in Management Information Systems with 9 years of Experience

• Strong background in understanding how this type of work contributes to the business, and is used to manage priorities to ensure the highest value is delivered
• Possess a track record of designing, developing, and operating Data Warehousing solutions
• Able to create the visualizations for data flow underpinning the solution
• Deep knowledge and experience designing and maintaining relational databases including MySQL, Oracle, Postgres or SQL Server
• Solid understanding of ETL architectures, data movement technologies, database partitioning, database optimization, and building communication channels between structured and unstructured databases
• Extensive experience in optimizing database design to improve query responses
• Familiarity with Amazon Web Services (RDS, EC2, EBS, S3, Dynamo DB, Redshift, etc.)
• Strong experience in using, supporting, and analyzing large-scale, cloud-based, distributed systems, leveraging public cloud providers (AWS in particular)
• Excellent written and verbal communication skills, both highly technical and non-technical
• Demonstrable experience of working at the senior leadership level

Qualifications: BS in Artificial Intelligence with 6 years of Experience

• Working experience in designing large-scale data architectures
• Experience with Snowflake
• Working experience in writing and executing advanced SQL queries
• Working experience in configuring multi-staged jobs/DAGs in relevant orchestration engines such as Airflow
• Hands-on experience with object-oriented programming and distributed computing/parallelization in languages such as Python/PySpark, JavaScript or Scala
• Working experience in highly-performing data pipes such as Kafka or Kinesis
• Strong analytical problem-solving and decision-making
• Good interpersonal skills, written and verbal
• Strong technical writer with experience creating and maintaining informative content and documentation using software such as LaTeX or alternatives
• Experience serving in a data modeling and data architect role for enterprise data modeling across multi-domain, multi-subject areas using Inmon and/or Kimball methodologies

Qualifications: BS in Database Systems with 5 years of Experience

• Experience with Cloud with a focus on Big Data Technologies, Data Pipelines, Cost Optimization, and Real-Time Streaming technologies
• Experience in data architecture and design, for both structured and unstructured data, data modeling, architecting and delivering highly scalable and flexible, cost-effective, cloud-based enterprise data solutions
• Demonstrated industry leadership in the fields of Databases, Data Warehousing, Data Modeling and Big Data processing
• Experience in Data Modeling (Dimensional, Normalized, Key-value pair), Information Architecture, Analytics, Schema Evolution, Data Organization Layouts
• Deep expertise in Data Engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, resilience, security and replication
• Experience with AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift and API Gateway, Cloud formation, Step Functions
• Experience in logical and physical data architecture design using database modeling tools
• Experience with full-cycle application development 
• Experience implementing modern applications using Cloud-Based Solutions/Technologies (AWS Redshift, S3, Google BigQuery, Azure Data Bricks, Synapse)
• Wide-ranging analytics experience, in areas such as SQL-based analytics, business intelligence, and reporting, (machine learning/ statistical modeling)
• Experience writing testable code and shipping code into production

Qualifications: BS in Computer Science with 7 years of Experience

• Proven experience in software development including architecture, design, coding, testing, and support
• Cloud infrastructure experience working with one or more of the following Amazon Web Services (AWS) Cloud services: EC2, EMR, ECS, EKS, Kubernetes Operators, Knative, Kubeflow, S3, SNS, SQS, CloudFormation, CloudWatch, Lambda
• Hands-on experiences with AWS architecture design, Data Management, Big Data, Data Warehousing, Machine Learning platform development and good exposure to feature engineering
• Proficient with CICD process, Agile and DevOps SDLC including analysis, high-level design, coding, testing, and implementation, performance tuning, bug fixing and quality control
• Experience with Agile, Kanban, or Scrum methodologies
• Experience with Cloud-based Data Warehouse platforms, e.g., Snowflake and Dremio
• Expertise in creating data models, optimizing data, automating and restructuring data reporting systems in the financial services domain
• Experience using Java, Python or Scala
• Experience in leading complex data applications with large volumes of data

Qualifications: BS in Information Systems with 6 years of Experience

• Experience in data warehousing, data modeling and/or data analysis
• Knowledge of data management, data integration and database development techniques
• Experience with database technologies (e.g., SQL, NoSQL, SQL Server, Hadoop, Teradata)
• Experience with ETL, cloud and business intelligence tools (Azure, Azure Synapse Analytics, Azure ML, Informatica ETL, Power BI, and Python)
• Expert understanding of architectural strategies for data modeling, design and implementation to meet stated requirements for metadata management, operational data stores and Extract, Transform, Load environments
• Expert understanding of agile methods and processes, and the capability of supporting agile project teams by providing advice and guidance on opportunities, impact and risks
• Exceptional interpersonal skills, including teamwork, facilitation, and negotiation
• Strong leadership skills with excellent analytical and technical skills
• Able to administer several open, ongoing assignments at any one time, where some assignments are routinely unstructured, requiring autonomy and independent judgment
• In-depth experience successfully harmonizing diverse and competing interests
• Ability to clearly articulate a position with sound logic, supporting empirical evidence, and impartiality
• Ability to effectively represent the organization to a variety of both internal and external constituencies
• Superior verbal and written communication skills

Qualifications: BS in Data Science with 8 years of Experience

• Demonstrated ability to have completed multiple
• Hands-on experience with designing and implementing data warehouses for BI projects
• Experience working in a cloud native environment with experience on AWS
• Experience migrating on-premises workloads to the cloud
• Hands-on experience with multiple AWS data storage services such as Redshift, DynamoDB, Timestream, RDS and S3
• Hands-on experience with data visualization technologies such as AWS Quicksight
• Experience working with both Relational and Non-Relational databases and when to choose one over the other
• Experience in architecting and designing multi-tenant applications
• Experience automating deployments by writing Terraform and CloudFormation scripts
• Expertise in the SQL language
• Experience working across cultures
• Strong oral and written communication skills

Qualifications: BS in Information Technology with 6 years of Experience

• Data architecture experience within a complex multinational organization or management consultancy
• Substantial experience in defining and driving approval of the data architecture transformation
• Experience including Big Data, Data lake, MDM, Predictive Analytics, business, operational and analytical systems
• Significant experience with cloud technologies
• Must have TOGAF certification
• Experience working internationally across different Asian countries
• Outstanding communication, influencing, and relationship-building skills with all stakeholder levels
• Experience in delivering data governance principles and policies
• Good working knowledge of databases and the difference between different technologies
• Experience and a proven track record in leading multiple data architecture projects
• Expert understanding and experience of leading under multiple methodologies (e.g., agile, waterfall, fail fast)
• Experience in leading data architecture teams in line with corporate strategies, using internal and external resources
• Knowledge of Data Governance, Data Standards, and Metadata Management

Qualifications: BS in Computer Engineering with 7 years of Experience