Job Summary: 

• Participate in a data modeling exercise with various functional teams
• Create solution architecture documents for projects
• Build re-usable ETL/ELT codes and data harmonization rules
• Create and own development standard and guidelines for EDW (Enterprise Data Warehouse) development
• Work with different teams to help drive EDW solution design and delivery
• Review code and artifacts from project teams
• Define standards for code migration using CI/CD
• Work on performance improvements
• Work with different teams to understand data requirements
• Help business teams build reports, dashboards, on visualization tools

Skills on Resume: 

• Data Modeling (Hard Skills)
• Solution Architecture (Hard Skills)
• ETL Development (Hard Skills)
• Data Harmonization (Hard Skills)
• EDW Standards (Hard Skills)
• Code Review (Hard Skills)
• CI/CD (Hard Skills)
• Performance Tuning (Hard Skills)

Job Summary: 

• Design reference architectures and data workflows that meet clients' business needs
• Design and run proofs-of-concept out of WWT's Advanced Technology Center and in the public cloud
• Lead engagements with clients focused on data lake design, data management, etc.
• Transform the current data structure to a best-in-class data architecture
• Work with business, product, and development teams to create data model additions and changes in partnership with business, product, and development teams
• Maintain comprehensive documentation
• Create data architecture standards
• Create a technical/operational layer of data catalog (metadata repository/data dictionary)
• Continuously evaluate new data technologies
• Lead/support large-scale projects

Skills on Resume: 

• Reference Architecture (Hard Skills)
• Data Workflow (Hard Skills)
• Cloud PoC (Hard Skills)
• Data Lake (Hard Skills)
• Data Modeling (Hard Skills)
• Architecture Standards (Hard Skills)
• Data Catalog (Hard Skills)
• Project Leadership (Soft Skills)

Job Summary: 

• Designing and architecting Azure Data Analytics solutions (Azure Data Brick, Data Factory, cluster, Synapse, etc.)
• Involved in analysis of requirements, production specifications, Architecture, Configuration, Security, Performance, Scalability, Reliability, etc.
• Defining the roadmap of Analytics for the firm including the effort estimation and defining the timeliness
• Documentation of solutions (e.g., data models, configurations, and setup)
• Define the Data Management Processes ad update and maintain the methodology documentation
• Document future state process flows, including alternate flows and exceptions
• Participate in special projects for managing service teams, e.g., building or implementing new tools, dashboards, etc.
• Create process design documents that specify the purpose and goals of each analytics project (new system integration and visualization (Power BI development and report generation))
• Organize and lead data review sessions with stakeholders, ensuring all process details are accurately captured and approved by the business SME
• Provide support for automation developers, including clarifying automation requirements, facilitating creation of required environment and permission configurations, etc.
• Support QA in testing larger automation initiatives
• Participate in pre- and post-deployment activities, e.g., UAT sessions, Go/No-Go meetings, hyper-care calls, etc.
• Assist with various operational issues, including troubleshooting production support issues, gathering, and documenting change request details, etc.

Skills on Resume: 

• Azure Architecture (Hard Skills)
• Requirements Analysis (Hard Skills)
• Security Design (Hard Skills)
• Performance Tuning (Hard Skills)
• Roadmap Planning (Soft Skills)
• Process Documentation (Hard Skills)
• Power BI (Hard Skills)
• Deployment Support (Hard Skills)

Job Summary: 

• Lead a team of analysts
• Improve and align the Salesforce data architecture toward business objectives
• Design Salesforce for the long term to ensure the platform is scalable
• Collaborate with business stakeholders and technology teams
• Identify and size data challenges that are impacting platform performance in Salesforce
• Own Salesforce Data Security, Data Quality, Data Cataloging, Metadata Management, MDM
• Oversee data integrations between Salesforce and other systems
• Design and consult on integration technologies with partnering teams that support integrations (e.g., Mulesoft, Ruby on Rails, and Python)
• Drive data profiling and unification approach in Salesforce
• Work with a team of data analysts, Salesforce engineers, and business systems analysts

Skills on Resume: 

• Team Leadership (Soft Skills)
• Salesforce Architecture (Hard Skills)
• Scalable Design (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Security (Hard Skills)
• Data Quality (Hard Skills)
• Systems Integration (Hard Skills)
• Metadata Management (Hard Skills)

Job Summary: 

• Owning the technical data architecture and the target data platform strategy, to deliver the consolidation, availability, and quality assurance of the required data assets to support business
• Acting as a key interface between business teams and data engineering, defining and shaping the target data capability
• Responsible for articulating the technology choices and decisions to support the strategic technical design decisions of all data solutions across the business
• Leading the development of the architectural process and documentation standards that provide a clear framework for design teams to work within
• Responsible for producing the data platform roadmap that informs technology investment strategy and focus for the coming years
• Producing clear and concise design material using the agreed framework to fully articulate all aspects of the data platform
• Taking responsibility for the development and direction of innovation aimed at improving current data processes and helping to define long-term roadmap for data
• Develop and support the implementation of the company’s data architecture strategy
• Help to build and develop new data pipelines and data models for production systems
• Drive excellence and implement industry-standard data architecture principles and data standards-compliant with policies and regulatory requirements
• Build strong business relationships and take on leadership responsibilities, and communicate effectively with business partners

Skills on Resume: 

• Data Architecture (Hard Skills)
• Platform Strategy (Hard Skills)
• Roadmap Planning (Hard Skills)
• Stakeholder Management (Soft Skills)
• Technical Decisions (Hard Skills)
• Process Documentation (Hard Skills)
• Pipeline Development (Hard Skills)
• Effective Communication (Soft Skills)

Job Summary: 

• Architect and build across the full stack including a web interface, database model, and a performant back-end system designed to capture commercial real estate transaction data and its corresponding workflow
• Restructuring complex data pipeline / ETL process used to power Green Street’s mapping/analytics platform
• Collaborate with the broader technology team and stakeholders in the discovery and intake of data sources used in the transaction pipeline
• Contribute to initiatives designed to score the quality/completeness of commercial real estate transaction data using data science-driven methods
• Work in conjunction or advise other developers on business intelligence initiatives
• Participate in full-stack code review and architecture reviews
• Lead team of full-stack developers (onshore and offshore)
• Work in a great Agile/Scrum organization
• Propose and influence disruptive and innovative solutions/ideas

Skills on Resume: 

• Full Stack (Hard Skills)
• Backend Performance (Hard Skills)
• Data Pipeline (Hard Skills)
• ETL Design (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Quality (Hard Skills)
• Agile Delivery (Soft Skills)
• Team Leadership (Soft Skills)

Job Summary: 

• Prepare and Lead Data Thinking workshops with business and customer communities, identifying opportunities for PoCs and enhancements to Thales solutions
• Act as a data architect in customer engagements, deliver technical artefacts and develop solutions
• Develop a proposal for how data can bring value to offers and customers
• Coordinate the data landscaping and cataloguing for Thales 
• Represent Thales in the creation and influence of MoD standards for Data Management and Architecture
• Work with the Digital Platforms and architecture teams to deliver customer data management and analytics solutions
• Meeting with internal and external stakeholders to develop a clear understanding of needs and business priorities
• Deliver high-level designs for solutions that meet the needs of the strategy and collaborate with teams to deliver on those designs
• Communicate visions, strategies and plans to various stakeholders to ensure support and collaboration across organisational boundaries
• Work to identify and implement 3rd party data integrations to support internal and external use cases
• Working collaboratively with the various squads and technical roles to identify common issues and opportunities to improve operational and strategic delivery
• Performance of appropriate governance activities, ensuring overall implementation of governance, architecture compliance and conformance to the Target Architecture
• Accountable for the acceptance of the technology architecture deliverables
• Horizon scan for major disruptive technology trends (trend spotting) that affect business
• Provide practical advice and best practices to overcome these challenges and successfully deliver the expected business outcomes

Skills on Resume: 

• Workshop Facilitation (Soft Skills)
• Data Architecture (Hard Skills)
• Solution Design (Hard Skills)
• Value Proposals (Soft Skills)
• Data Cataloging (Hard Skills)
• Stakeholder Management (Soft Skills)
• Data Governance (Hard Skills)
• Systems Integration (Hard Skills)

Job Summary: 

• Lead the long-term strategy of how to acquire, store, consume and distribute this data
• Ensuring alignment throughout all technical areas
• Examine and identify database structural necessities by evaluating client operations, applications, models, and programming
• Collaborate across all big data platforms in Vestas, discovering new value creation opportunities
• Educate and coach colleagues through training and individual support
• Work closely with stakeholders, both to capture requirements and communicate effectively new opportunities
• Offer support by responding to system problems promptly
• Prepare accurate database design and architecture reports for management and executive teams

Skills on Resume: 

• Data Strategy (Hard Skills)
• Technical Alignment (Soft Skills)
• Database Design (Hard Skills)
• Big Data (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Team Coaching (Soft Skills)
• Issue Resolution (Soft Skills)
• Architecture Reporting (Soft Skills)

Job Summary: 

• Support the delivery of the new data strategy
• Maintain a close working relationship with Data Domain Controllers and other business stakeholders to develop an excellent understanding of business needs
• Create and maintain conceptual, logical and physical data models for the operational and analytics structures
• Work with project teams and Data Domain Controllers as the technical point of contact for data architecture
• Assume ownership of the deployment and adoption of the metadata management platform
• Develop and maintain a full understanding and documentation of the data SCC holds and processes, where and how it is stored
• Ensure transparency and legibility of SCC data architecture
• Drive confidence and trust in data through supporting the understanding of the data landscape among SCC teams
• Propose adequate go-to data models and develop a viable transformation roadmap for successful execution
• Line-manage the Data Governance Administrator(s) and coordinate the work of offshore Data Governance Analysts 

Skills on Resume: 

• Data Strategy (Hard Skills)
• Data Modeling (Hard Skills)
• Stakeholder Management (Soft Skills)
• Architecture Ownership (Hard Skills)
• Metadata Management (Hard Skills)
• Process Documentation (Hard Skills)
• Transformation Roadmap (Hard Skills)
• Team Leadership (Soft Skills)

Job Summary: 

• Responsible for providing innovative and reusable solutions to complex problems
• Understand the Business requirement and come up with a solution or influence the solution design
• Create the Technical design and deliver a high-quality solution
• Working in collaboration with senior members, the client organization and members of the development team
• Coordinate with the internal and external project stakeholders and ensure high quality and on-time delivery
• Define how data is stored, consumed, and integrated
• Define architecture and infrastructure
• Responsible for collaborating with multiple departments, stakeholders, and executive leadership

Skills on Resume: 

• Solution Design (Hard Skills)
• Technical Design (Hard Skills)
• Problem Solving (Soft Skills)
• Business Acumen (Soft Skills)
• Stakeholder Management (Soft Skills)
• Data Integration (Hard Skills)
• Architecture Planning (Hard Skills)
• On Time Delivery (Soft Skills)

Job Summary: 

• Design, discuss and document Solution Architectures for client requests in the BFS Data and Analytics space
• Provide options and pros and cons for each
• Provide technical thought leadership, publish points of view, blogs and participate as an SME
• Maintain relationships with Alliance partners
• Share knowledge within LTI
• Contribute to various go-to-market solutions, IP and Assets development
• Partner with a variety of teams, including account managers, delivery managers, and technical experts, to prepare materials for client presentations
• Collaborate with internal teams across geographies to continuously improve LTI capabilities in BFS Data
• Provide regular portfolio status updates to leadership and track KPIs/ Metrics related to group objectives

Skills on Resume: 

• Solution Architecture (Hard Skills)
• Tradeoff Analysis (Hard Skills)
• Thought Leadership (Soft Skills)
• Partner Management (Soft Skills)
• Knowledge Sharing (Soft Skills)
• Go To Market (Soft Skills)
• Cross Teaming (Soft Skills)
• KPI Tracking (Hard Skills)

Job Summary: 

• Assist application teams in designing cloud data solutions, incorporating security principles and best practices to ensure designs are in accordance with data security, governance, and costs
• Work with the Sales Engineers, Business Intelligence and the Product Managers to identify the reports that best fit the requirements at cost
• Translate these into engineering requirements
• Evaluate technologies that are the best fit for data ingestion, storage and analysis
• Conduct database development tasks to provide the highest levels of quality and performance
• Size the clusters for optimal cost/speed ratio
• Analyze query time, plan and design optimization strategies
• Design, develop, test, validate, profile, tune, monitor, and manage data systems and components (e.g., scheduled jobs, processes, data delivery tools, etc.)

Skills on Resume: 

• Cloud Data (Hard Skills)
• Security Governance (Hard Skills)
• Requirements Translation (Soft Skills)
• Technology Evaluation (Hard Skills)
• Database Development (Hard Skills)
• Cost Optimization (Hard Skills)
• Query Tuning (Hard Skills)
• System Monitoring (Hard Skills)

Job Summary: 

• Develops data models and ER diagrams for existing and new databases
• Ensure that the business requirements are correctly translated into technical specifications
• Review reporting SQL scripts to identify sub-optimized code and procedures, and provide test cases and improvements
• Lead design and engineering of reusable schema objects such as reusable levels of aggregation for reports
• Influence the data processing and design of other teams
• Work with all colleagues to identify and distinguish the nature of problems when errors or discrepancies occur
• Handle ad-hoc requests against productions on campaigns and application activities
• Develop the metrics to ensure update, efficiency and cost of the system

Skills on Resume: 

• Data Modeling (Hard Skills)
• ER Diagramming (Hard Skills)
• Requirements Translation (Soft Skills)
• SQL Optimization (Hard Skills)
• Schema Design (Hard Skills)
• Cross Teaming (Soft Skills)
• Production Support (Soft Skills)
• Metrics Development (Hard Skills)

Job Summary: 

• Lead the design, development, implementation and maintenance of complex data systems and solutions
• Develop conceptual, logical and physical data models to support data analysis and business intelligence
• Define and manage standards, guidelines and processes to ensure data quality
• Maintain and develop further the existing Master Data Management content and process
• Direct and control IT specialist teams to undertake the delivery of a comprehensive data-centric project
• Work closely with external suppliers to ensure the solution makes best use of technology and meets requirements
• Define and manage standards, guidelines, and processes to ensure data quality
• Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards
• Participate in the review and quality assurance of project architectural artifacts across the Forest Division
• Report key architecture decisions and implications to the Forest Division architectural governance board
• Participate in the supplier selection process, evaluating the usefulness and cost of products and making appropriate recommendations
• Ensure technology solutions are in alignment with data architecture principles and the target state
• Evaluate and recommend emerging technologies for data management, storage, and analytics

Skills on Resume: 

• Data Systems (Hard Skills)
• Data Modeling (Hard Skills)
• Data Quality (Hard Skills)
• Master Data (Hard Skills)
• Team Leadership (Soft Skills)
• Supplier Management (Soft Skills)
• Architecture Simplification (Hard Skills)
• Technology Evaluation (Hard Skills)

Job Summary: 

• Leads / runs the data team of 4 (Lead DA, DA, DA/DBA, IM)
• Drives data support of application releases (requirements analysis, data analysis, solution definition, data modeling, metadata definition, and query development)
• Designs and drives the evolution of the data models and flows across operations, reporting and analytics
• Coordinates with source applications for Master and Reference data
• Participates in the identification and definition of analytics
• Owns the Data Quality mission
• Drives optimization and performance improvement of databases
• Participates in regular solution design sessions to analyze options and benefits
• Ensures proper solution documentation is produced using standard Architecture deliverables

Skills on Resume: 

• Team Leadership (Soft Skills)
• Requirements Analysis (Hard Skills)
• Data Modeling (Hard Skills)
• Metadata Definition (Hard Skills)
• Master Data (Hard Skills)
• Data Quality (Hard Skills)
• Database Optimization (Hard Skills)
• Solution Documentation (Hard Skills)

Job Summary: 

• Guide the client executive through the analytics solution journey from inception through solution delivery
• Support senior-level decision-making by distilling complex technical issues and considerations into business benefits, impacts and risks
• Develop client analytics solution roadmaps showing the intersection of business benefits with an incremental solution delivery, including costing estimates and staffing considerations
• Identify opportunities to add value to the client's organization by effective use of information management through the application of analytics, data discovery and machine learning
• Build relationships with CxOs and key business stakeholders responsible for information and performance management
• Organize and deliver knowledge transfer to clients including toolset usage and transition of operational tasks to operations staff
• Oversee and support the design, development, and implementation of data warehousing, reporting and analytics solutions that deliver information efficiently, with the end goal to solve business challenges and achieve business objectives
• Plan BI System/toolset architecture such as logical and physical, for a Microsoft solution (on-premise or cloud)
• Provide oversight and expertise in Data Modeling and Database Design
• Provide architectural oversight and best practices for SSIS ETL packages, OLAP and In Memory cubes, and reports utilizing SSAS, SSRS and Power BI
• Document source-to-target mappings, data dictionaries, and database design
• Provide oversight and best practices for the installation and configuration of Microsoft on-premise and cloud-based tools and platforms
• Lead and mentor junior resources
• Support NTT business development efforts (proposals, client presentations, webinars, etc.)

Skills on Resume: 

• Executive Consulting (Soft Skills)
• Risk Communication (Soft Skills)
• Solution Roadmapping (Hard Skills)
• Stakeholder Management (Soft Skills)
• Knowledge Transfer (Soft Skills)
• Data Warehousing (Hard Skills)
• Microsoft BI (Hard Skills)
• Team Mentoring (Soft Skills)

Job Summary: 

• Gain an understanding of the current data structure and content
• Contribute to the overall data migration strategy, including creating the data migration plan
• Create draft conceptual and logical data models for the new system
• Create data monitoring models
• Analyze database implementation methods
• Develop database design and architecture documentation
• Help maintain the integrity and security of databases
• Develop creative solutions to problems
• Provide insight into the changing database storage and utilization requirements for the company and offer suggestions for solutions

Skills on Resume: 

• Data Assessment (Hard Skills)
• Migration Planning (Hard Skills)
• Data Modeling (Hard Skills)
• Monitoring Models (Hard Skills)
• Database Analysis (Hard Skills)
• Architecture Documentation (Hard Skills)
• Data Security (Hard Skills)
• Problem Solving (Soft Skills)

Job Summary: 

• Translating business needs and opportunities
• Developing strategic frameworks and capability roadmaps
• Identifying potential technology solutions
• Develop architecture patterns for data modeling, design, and implementation to meet stated requirements for metadata management, operational data stores and ETL / ELT for cloud computing environments
• Collaborate with data engineers to develop capabilities that drive transformational analytics and transform data assets into business-driven solutions
• Reviews the data lineage, governs growth and usage of data in a highly agile development environment in compliance with enterprise-level architecture standards
• Actively collaborates through cross-functional collaboration
• Design, develop and implement data strategy, data collection, transformation, data integration and data analytics solutions
• Create and present the solution design through a solution design document and estimate for complexity, effort and costs
• Collaborate with solution design and business requirements teams to identify data requirements and influence project artefacts
• Provide technical guidance as an SME and hands-on delivery team member across multiple clients and engagements
• Lead technology consulting engagements, solution workshops and due diligence
• Shape and manage engagement teams 
• Develop strong capabilities through both formal training and working with senior mentors and talented colleagues

Skills on Resume: 

• Business Translation (Soft Skills)
• Roadmap Frameworks (Hard Skills)
• Technology Evaluation (Hard Skills)
• Data Architecture (Hard Skills)
• Data Lineage (Hard Skills)
• Cross Functional (Soft Skills)
• Solution Estimation (Hard Skills)
• Team Leadership (Soft Skills)

Job Summary: 

• Demonstrates technical leadership by teaching and coaching others
• Collaborating with peers on system design and coding techniques
• Driving technical conversations and crafting creative solutions to challenging business problems
• Uses and promotes established Software Development Life Cycle (SDLC) standards, QA and change control procedures
• Leads and participates in IT technical design and development meetings to evaluate and recommend optimal solutions designed for high levels of data quality, integrity, performance, availability and reliability
• Performs impact, system, and data analysis based on business requirements
• Provide production support and on-call support, including problem analysis and resolution
• Fosters the MSC Culture in the department and throughout the company to ensure fulfillment of MSC’s vision and unity of purpose
• Participates in special projects and performs additional duties 

Skills on Resume: 

• Technical Leadership (Soft Skills)
• Team Coaching (Soft Skills)
• System Design (Hard Skills)
• Creative Solutions (Soft Skills)
• SDLC Standards (Hard Skills)
• Impact Analysis (Hard Skills)
• Production Support (Soft Skills)
• Problem Resolution (Soft Skills)

Job Summary: 

• Provide data architecture leadership in guiding the development of conceptual, logical and physical data models to support data analysis and business intelligence
• Develop and document data architecture solutions, including technical designs, guidelines and standards for the enterprise
• Maintain understanding of emerging data architecture concepts and methods and associated technology trends
• Deep expertise in data management, data architecture, metadata management, data integration, data governance, data modeling (conceptual, logical, and physical), data transport, data quality, and master data management
• Provide technical leadership and strategic direction for the technologies, standards, processes and architectures for data across the enterprise
• Work with business and IT stakeholders to ensure data architecture addresses business and IT objectives
• Oversee end-to-end data life cycle management activities to ensure data governance and management model is effective and right-sized 
• Create and maintain current-state and target-state data architectures
• Work with the Director of Data Strategy and Governance to ensure data standards, guidelines and processes related to data quality are embedded in technology solutions
• Provide data architecture leadership in guiding the design, development, implementation and maintenance of complex data systems and solutions 
• Understand the importance of Data Mastership and Data Flow mapping for the business, capturing both As-Is and To Be states, and help identify the right data for the business
• Establish processes that allow for cleaner integration and effective use of data within the business
• Understand internal/external data flow for each of the business processes

Skills on Resume: 

• Data Architecture (Hard Skills)
• Data Modeling (Hard Skills)
• Metadata Management (Hard Skills)
• Data Governance (Hard Skills)
• Master Data (Hard Skills)
• Data Quality (Hard Skills)
• Data Integration (Hard Skills)
• Lifecycle Management (Hard Skills)

Job Summary: 

• Lead the presale activities from a technical standpoint, representing the Data and Analytics unit
• Develop Ciklum’s Data Architecture practice as a senior member of the Data and Analytics unit
• Design projects with broad implications for the business/stakeholders and/or the future architecture, successfully addressing cross-technology and cross-platform issues
• Selects tools and methodologies for projects
• Develop database solutions to store and retrieve company information
• Identify, define, direct, and perform project issue analysis to resolve issues, analysis of the technical feasibility of proposed data solutions
• Work with business and technical stakeholders to understand their business needs and design data and analytics solutions that will address the needs
• Translate business requirements documentation into data requirements and source-to-target data mappings
• Actively participate in design and data model reviews, providing constructive feedback
• Provide guidance to product and development teams directed towards technical data-related issues
• Ensure changes to the data environment are compliant with the architectural standards

Skills on Resume: 

• Presales Leadership (Soft Skills)
• Practice Development (Soft Skills)
• Solution Architecture (Hard Skills)
• Tool Selection (Hard Skills)
• Database Development (Hard Skills)
• Feasibility Analysis (Hard Skills)
• Requirements Mapping (Hard Skills)
• Design Reviews (Soft Skills)

Job Summary: 

• Analyze legacy applications, understand business requirements and develop future state data architectures
• Determine database structural requirements by analyzing functional requirements, client business operations information, and evaluating existing systems or applications
• Create and maintain data standards, lineage and attribute mapping from data sources
• Conduct data analysis to determine data availability and quality for purposes of reporting
• Define / Design the logical and Dimensional data model for the EDW
• Build a Data Dictionary that documents and exposes IM Metadata
• Analyze data in-depth using SQL
• Educate other team members on the EDW Data Model and address questions 

Skills on Resume: 

• Legacy Analysis (Hard Skills)
• Requirements Analysis (Hard Skills)
• Data Standards (Hard Skills)
• Data Lineage (Hard Skills)
• Dimensional Modeling (Hard Skills)
• Data Dictionary (Hard Skills)
• SQL Analysis (Hard Skills)
• Team Training (Soft Skills)

Job Summary: 

• Leverage technical expertise to constantly raise the bar and ensure the team delivers extraordinary results, focusing on creating value, continuous improvement and collaboration
• Strive to thoroughly understand customer, business and stakeholder needs, and provide effective solutions to meet those needs
• Dive deep into tech, driving data architecture, design, security, scalability and related best practices via hands-on contributions and coaching of data engineers and application developers
• Produce data architecture best practices and guidelines for data engineering development, data modeling and data quality results
• Evangelize and consult on enterprise data architecture to reduce data silos and promote the efficient, effective, accurate and secure use of data throughout the organization
• Conduct data architecture, performance, design and model reviews for data engineering and lead data governance functions
• Develops and maintains data warehouse and application data models for the organization
• Perform technical analysis and hands-on support of ad-hoc requests for information from business stakeholders and other data-related issues
• Research, identify and evaluate current and upcoming data management and development technologies and provide a vision for the future
• Build real and effective partnerships between teams and others throughout the company

Skills on Resume: 

• Data Architecture (Hard Skills)
• Continuous Improvement (Soft Skills)
• Stakeholder Focus (Soft Skills)
• Security Scalability (Hard Skills)
• Best Practices (Hard Skills)
• Data Governance (Hard Skills)
• Data Warehouse (Hard Skills)
• Technology Evaluation (Hard Skills)

Job Summary: 

• Define and document standards, frameworks and reference architectures
• Work closely with other teams to deliver new environments and resolve problems with existing architecture
• Determine structural requirements by analyzing existing infrastructure
• Align with the Integrations services to develop comprehensive and cohesive decisions for the enterprise
• Guide the design, building, and launching of new data models and data pipelines in production, partner with stakeholders to establish and support delivery SLAs for key data sets
• Partner with Legal, Procurement, Commercial Strategy, and the Enterprise Data team to develop comprehensive policies that cover organization, storage, and access to sensitive or confidential Commercial Data
• Provide insightful data to guide decision-making and offer proactive solutions
• Implement effective oversight and tools to ensure that Wendy's is protecting enterprise data quality for applications and insights from BI investments
• Partner with cross-functional groups, technology vendors, product owners and program management to design and execute strategies

Skills on Resume: 

• Architecture Standards (Hard Skills)
• Cross Teaming (Soft Skills)
• Infrastructure Analysis (Hard Skills)
• Integration Alignment (Hard Skills)
• Pipeline Delivery (Hard Skills)
• Policy Development (Hard Skills)
• Data Quality (Hard Skills)
• Vendor Collaboration (Soft Skills)

Job Summary: 

• Lead a technical team that architects, builds, maintains, scales, monitors, administers and secures the organization's analytics infrastructure
• Create a solid, flexible, stable system that enables the company to deliver best-in-class analytics products to customers in the face of massive growth
• Act as the functional lead, manage staff and do the hands-on work
• Enable data access, data processing and data products
• Architecting, maintaining, scaling, monitoring and securing the company's machine learning production system (AWS, Python), Data Warehouse (Snowflake), ETL system and data pipelines (Informatica, Stitch Data), and BI system (Tableau Online, PlecoTech)
• Overseeing the design and realisation of the data architecture, aligned with the architecture vision 
• Delivering Big Data Platform in line with data governance and in alignment with the standard architecture module
• Ascertaining the latest technology trends and their impact on the current enterprise architecture
• Developing and delivering high-level architecture business cases
• Developing the solution architecture for technology programs
• Providing Data Architecture leadership to all levels of the organization  
• Sharing data architecture best practices and guiding emerging technologies 

Skills on Resume: 

• Technical Leadership (Soft Skills)
• Analytics Infrastructure (Hard Skills)
• System Scalability (Hard Skills)
• Data Products (Hard Skills)
• ML Production (Hard Skills)
• Data Warehousing (Hard Skills)
• Data Pipelines (Hard Skills)
• Technology Trends (Hard Skills)

Job Summary: 

• Drive the collection, cleansing, processing, and analysis of new and existing data sources, including the oversight for defining and reporting data quality and consistency
• Develop conceptual and logical enterprise data models
• Work with multiple customer requirements to build an adaptable data mart solution that helps drive real business intelligence
• Work under an agile methodology, to build in an iterative approach to realise benefits fast
• Take responsibility for technical design, implementation and solution documentation
• Ensure the availability of the solution, provide data redundancy that meets the RPO business need and ensure the overall service health
• Keep abreast of market developments and trends, looking to implement innovative solutions to provide value to the business
• Working with Agile product Owners, Business SMEs and/or data analysts

Skills on Resume: 

• Data Processing (Hard Skills)
• Data Quality (Hard Skills)
• Data Modeling (Hard Skills)
• Data Mart (Hard Skills)
• Agile Delivery (Soft Skills)
• Solution Documentation (Hard Skills)
• Service Availability (Hard Skills)
• Trend Awareness (Soft Skills)

Job Summary: 

• Pulls, manipulates, and structures healthcare data utilizing tables within different data sources and with different products
• Focuses on translating data into actionable dashboards and reports using visualization tools and technology and presents to various audiences
• Responsible for providing data visualizations (reports and dashboards) to support stakeholder requirements
• Analyzes existing reports to improve performance and develops new reports using best data visualization practices and processes
• Assembles large and multiple complex data sets and sources to meet functional/non-functional business requirements
• Works with a wide range of stakeholders and functional teams, along with data analysts and data scientists, to develop data visualizations that provide business insights
• Supports the technical aspects of the Cerner HealtheAnalytics application under the direction and guidance of the Manager of Interoperability and Development Information Technology
• Utilizes available tools to automate and expedite accurate, complete, and efficient reporting
• Writes queries against clinical/population health databases, providing timely and accurate reporting to physicians, clinical staff, and administrative stakeholders
• Designs and implements a custom database for long-term retention of relevant data extracted frothe m population health database
• Assists enterprise resources in training their personnel and preparing user reference materials 
• Works closely with stakeholders to gather requirements to inform the design of Population Health Management applications and implements changes to better suit the organization’s needs
• Develops reporting to make data more meaningful for business and clinical initiatives
• Collaborates on data quality conditions and monitoring with subject matter experts
• Build processes to support data transformation, data structures, metadata, dependency, and workload management

Skills on Resume: 

• Data Visualization (Hard Skills)
• Dashboard Reporting (Hard Skills)
• Healthcare Data (Hard Skills)
• SQL Querying (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Report Optimization (Hard Skills)
• Reporting Automation (Hard Skills)
• Requirements Gathering (Soft Skills)

Job Summary: 

• Responsible for working with internal business customers to identify business requirements and supporting/developing on ETL, Data Virtualization, and Data Warehouse environments
• 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
• Lead 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
• Leads planning sessions with customers to improve business processes and prioritize investments in data and infrastructure
• Leads requirements sessions with customers to develop use cases for data platforms that provide value across business areas and customer sites
• Works closely with the Technical Review Board and Enterprise Architects to ensure all systems are in line with the long-term IT strategy
• 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 on Resume: 

• Requirements Analysis (Hard Skills)
• ETL Development (Hard Skills)
• Data Warehousing (Hard Skills)
• Data Modeling (Hard Skills)
• Data Governance (Hard Skills)
• Metadata Management (Hard Skills)
• Data Strategy (Hard Skills)
• Pipeline Management (Hard Skills)

Job Summary: 

• Build the data supply chain and the enterprise data products that meet high performance, high availability, and maintainability standards, using current and emerging big data technologies
• Design scalable patterns and architecture to support both batch and real-time data products and platform using analytics technologies such as SQL Data Warehouse, Spark, Databricks, Azure Synapse or other Cloud data warehousing technologies
• Work with product managers, data stewards and data engineers within the enterprise data governance process to define and conceptualize data models across enterprise master data, transaction data, and informational data and implement those models into the enterprise data model
• Making tactical architecture decisions to support immediate projects, but will be a key expert informing long-term data architecture strategy
• Design, implement and demonstrate solutions that exhibit the highest levels of performance, security, scalability, maintainability, repeatability, appropriate reusability and reliability to the End-Customer
• Act as tech lead for a team, leading design and architecture of a feature or product, mentoring and guiding the engineering team, performing code reviews for critical features
• Supporting technical requirements outreach sessions with sponsor stakeholders to identify existing data sources, formats, and interfaces
• Identifying tools, frameworks, and methods to help integrate disparate structured and unstructured data sources across the sponsor’s work program
• Offers opportunities for contributing to and providing guidance and technical expertise on widely varying activities
• Building an end-to-end data architecture from the ground up
• Guiding the sponsor in selecting tools and methods to build the data architecture
• Making critical acquisition recommendations to ensure the architecture can be supported
• Surveying current IC, DoD, and industry best practices to ensure the architecture is resilient

Skills on Resume: 

• Data Products (Hard Skills)
• Scalable Architecture (Hard Skills)
• Cloud Warehousing (Hard Skills)
• Enterprise Modeling (Hard Skills)
• Architecture Strategy (Hard Skills)
• Technical Leadership (Soft Skills)
• Tool Selection (Hard Skills)
• Best Practices (Hard Skills)

Job Summary: 

• Design and implement next-generation cloud-based Enterprise data management and data delivery strategy for the Bank
• Lead the development of the requirements, principles, and models for the future-state Information Architecture to address Operational, Analytical and AI/ML needs
• Identify the gaps between the current and future state and develop a roadmap for moving toward the future state
• Design and develop innovative and reusable information management architecture patterns that include information and regulatory requirements, principles, and models to achieve effective enterprise operational, reporting and analytics leading to data-driven knowledge
• Analyze information flow to recommend appropriate technologies (RDBMS vs NoSQL, Batch vs Real-time) and data structures to support end-to-end use cases, considering business and regulatory needs
• Defining the data movement between domains that enable optimal performance, extensibility, and operational stability
• Mapping and administration of all data sources and movement
• Perform analysis to ensure data quality and access control
• Establish guiding principles and a reusable methodology for managing information architecture deliverables
• Conduct code reviews to guide engineering best practices and compliance with development procedures
• Prepare conceptual and logical subject area models and implementation-level details that affect the continuum of disciplines involved in the architecture, design, implementation, and management of enterprise information

Skills on Resume: 

• Data Strategy (Hard Skills)
• Information Architecture (Hard Skills)
• Gap Analysis (Hard Skills)
• Roadmap Planning (Hard Skills)
• Architecture Patterns (Hard Skills)
• Technology Selection (Hard Skills)
• Data Flow (Hard Skills)
• Code Reviews (Hard Skills)

Job Summary: 

• Champion efforts to improve business performance through Information Architecture solutions and capabilities
• Lead efforts to redesign or modify the Information Architect as part of business improvement initiatives
• Coordinate with IT leadership, Project Management Office, and Operational leadership on all projects regarding enterprise data
• Assist with the development and evolution of the Enterprise Information Model and the Information Architecture
• Actively partner with Enterprise Architecture and Enterprise Data Governance and application development teams by playing a lead role in technology decisions for the future of analytical and reporting needs and to move critical enterprise data concerns forward
• Manage various data association problems such as system configuration and integration on multiple platforms
• Communicate, educate, and ensure adherence to sound data management principles, the re-use of data as well as creating and managing metadata and business rules for the use of data
• Lead the data strategies for reporting, analytics and business analysis
• Monitor system processing to identify areas of burden and optimization methods to reduce cost
• Monitor regulatory guidelines (such as privacy requirements), compliance-related guidance (such as data retention and audit requirements) and emerging industry standards to determine their impact on Information Architecture

Skills on Resume: 

• Information Architecture (Hard Skills)
• Business Improvement (Soft Skills)
• Enterprise Modeling (Hard Skills)
• Technology Decisions (Hard Skills)
• Systems Integration (Hard Skills)
• Data Governance (Hard Skills)
• Cost Optimization (Hard Skills)
• Regulatory Compliance (Hard Skills)

Job Summary: 

• Consulting, leading, and performance of analysis and design of large, complex applications, and business process re-engineering required to support Data programmes
• Contributing to the analysis of business data requirements, developing Information Strategies, Conceptual and Corporate data models, and working to develop and extend the client’s Data Architecture
• Partnering with clients to gather a necessary understanding of business objectives and processes
• Focusing on identifying the underlying data issues using interviews, tools, templates, and diagnostics
• Providing information, feedback and guidance to clients to support technology-related decision making
• Consulting and working with development teams to determine, execute and deliver relevant solutions
• Working with colleagues to develop new offerings in the areas of Information Strategy and Data Architecture development
• Managing the development of reviewees

Skills on Resume: 

• Data Consulting (Soft Skills)
• Process Reengineering (Hard Skills)
• Requirements Analysis (Hard Skills)
• Information Strategy (Hard Skills)
• Data Modeling (Hard Skills)
• Issue Diagnostics (Hard Skills)
• Client Advising (Soft Skills)
• Team Mentoring (Soft Skills)