Job Summary: 

• Create reference architecture implementations enabling developer teams through examples, training, and reusable code.
• Collaborate with application and service delivery teams to develop solution options, lead discussions, assist in troubleshooting, and make recommendations on cloud-native architecture.
• Work with production partners to migrate data from on-premise data centers to the public cloud.
• Analyze emerging technology, and market trends, and develop architecture patterns and best practices.
• Be a thought leader in the emerging cloud architecture practices including AI/ML, serverless computing, continuous delivery, infrastructure as a code, automation, and service discovery
• Collaborate with security and legal to ensure compliance and security of data design solutions.
• Perform timely and accurate employee evaluations
• Participate in cross-program IT governance committee.
• Be an active corporate technical leadership team member, drive innovation and new capabilities in Precise. 
• Occasionally lead or participate in proposal solutions and writing.

Skills on Resume: 

• Reference Architecture Development (Hard Skills)
• Cloud-Native Solution Design (Hard Skills)
• Data Migration Expertise (Hard Skills)
• Emerging Technology Analysis (Hard Skills)
• Thought Leadership in Cloud Architecture (Soft Skills)
• Compliance and Security Collaboration (Soft Skills)
• Employee Evaluation and Management (Soft Skills)
• Cross-Program Governance and Innovation (Soft Skills)

Job Summary: 

• Design pipelines and architectures for data processing
• Work with business and data teams to efficiently use the Google Cloud platform to analyze data, build data models on Big queries, big table
• Develop data architectures and data migration to cloud strategy
• Work with business SMEs to perform source system data analysis, data mappings and build data inventor
• Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large-scale data solutions in the enterprise, using modern data/analytics technologies on-premise and cloud
• Integrate massive datasets from multiple data sources for data modeling
• Implement methods for DevOps automation of all parts of the build data pipelines to deploy from development to production
• Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management

Skills on Resume: 

• Data Pipeline Design and Architecture (Hard Skills)
• Google Cloud Platform Proficiency (Hard Skills)
• Cloud Data Migration Strategy (Hard Skills)
• Source System Data Analysis (Hard Skills)
• Implementation Expertise (Hard Skills)
• Data Integration (Hard Skills)
• DevOps Automation (Hard Skills)
• Technical Problem-Solving (Soft Skills)

Job Summary: 

• Collaborating with other stakeholders on data architecture, product strategy and operational processes.
• Ensuring quality and consistency of data across the system.
• Providing day-to-day guidance to the development, data science, and analytics teams. 
• Building data governance and data-related best practices for all product teams 
• Defining the data architecture for major areas of the platform 
• Recommending actions to maintain cost-effectiveness and competitiveness. 
• Working on multiple projects, with complex and challenging requirements
• Work with teams to design and build large-scale data processing pipelines, analytics sandboxes, and at-scale production delivery platforms. 
• Support data pipeline infrastructure through effective utilization of AWS, GCP and other cloud services. 
• Work with business stakeholders to identify business opportunities that may result and/or benefit from the application of data and advanced analytics, including machine learning. 

Skills on Resume: 

• Data Architecture Design (Hard Skills)
• Data Governance & Best Practices (Hard Skills)
• Leadership & Guidance (Soft Skills)
• Cost-Effectiveness & Competitiveness (Soft Skills)
• Project Management (Hard Skills)
• Data Processing & Pipeline Development (Hard Skills)
• Cloud Services Utilization (Hard Skills)
• Advanced Analytics & Business Opportunities (Hard Skills)

Job Summary: 

• Develop an overarching enterprise data strategy for building and migrating on-prem data to Azure
• Architect critical data integration capabilities supporting digital insurance platform modernization
• Lead selection of data technologies, tools, and vendors in the cloud
• Provide technical designs for building critical data lake capabilities to support multi-petabyte growth in IoT data.
• Design data lake capabilities to support third-party “sandboxes”, providing secure access to targeted data upon which external partners can build analytical models
• Oversee, guide and approve vendor data architecture proposals and designs
• Design critical data integration architecture to support third-party connectivity of data and data integrations between externally hosted vendor SaaS systems and data lake.
• Plan, design and oversee the migration of the on-prem data ecosystem (EDW, BI, Reporting, ETL) to Cloud-native architecture and services
• Architect the data lake to enable new analytics capabilities.
• Assess business and technical needs, and recommend software, tools and services.
• Enable new analytics capabilities by selecting and implementing the best tools, practices and patterns.
• Build and/or review data models.

Skills on Resume: 

• Enterprise Data Strategy Development (Hard Skills)
• Data Integration Architecture (Hard Skills)
• Cloud Technology Selection (Hard Skills)
• Data Lake Design and Management (Hard Skills)
• Vendor Management (Soft Skills)
• Cloud Migration Planning (Hard Skills)
• Analytics Enablement (Hard Skills)
• Technical Design and Review (Hard Skills)

Job Summary: 

• Assist in the definition of the Enterprise Architecture, product and Cloud strategy
• Ensure solutions support the architectural direction of the company’s technology and the Focus Product Strategy
• Review internal and external solutions for suitability, making recommendations to the Head of Architecture and Focus Design Authority
• Provide analytical skills in understanding and communicating design specifications to facilitate technical development, including the creation of both high-level and detailed design documentation and impact estimation
• Provide big data solutions (storage and computing) and deliver value via machine learning
• Fulfill the role of a subject matter expert in Azure Application Architecture and solutions
• Evaluate business needs and priorities with key business partners and address team needs related to big data systems and management.
• Translate business requirements into technical specifications, establish and define details, definitions, and requirements of applications, components, and enhancements.
• Generate design, development, test plans, detailed functional specifications and process flow charts.
• Develop data pipelines/APIs using Python, SQL, and GCP.

Skills on Resume: 

• Enterprise Architecture and Cloud Strategy Development (Hard Skills)
• Solution Evaluation and Recommendations (Hard Skills)
• Technical Design and Documentation (Hard Skills)
• Big Data and Machine Learning Solutions (Hard Skills)
• Azure Application Architecture (Hard Skills)
• Business Needs Evaluation and Big Data Management (Soft Skills)
• Technical Specifications and Requirements Translation (Hard Skills)
• Data Pipelines/APIs Development (Hard Skills)

Job Summary: 

• Accountable for an overall technology implementation of Cloud-based enterprise data warehouse, data lake, advanced data analytics and AI/ML platform.
• Work closely with customer business, IT and security stakeholders, identify and document business and technical requirements. Develop platform future state architecture and multi-year roadmap to achieve the future state.
• Lead the design that meets business and technical requirements. 
• Setup program technical standards, guidelines and reference implementation.
• Work closely with the development team, and oversee and review the technical implementation.
• Conduct market research, evaluate technologies and vendor products, and make recommendations that fit the needs of the customer cost-effectively.
• Lead the implementation of Proof-Of-Concept (POC) on key technologies.
• Produce system design artifacts, and required technical documents following customer’s SDLC process.
• Represent the program, and present the solution architecture and technical implementation to broader customer business and IT community. 

Skills on Resume: 

• Cloud-Based Data Solutions Design (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Architecture Development (Hard Skills)
• Technical Standards and Guidelines (Hard Skills)
• Technical Oversight (Hard Skills)
• Market Research and Evaluation (Hard Skills)
• Proof-of-Concept (POC) Implementation (Hard Skills)
• Technical Documentation and Presentation (Hard Skills)

Job Summary: 

• Support Enterprise Data Analytics function by working closely with business partners and other members of IT in building designing and building an effective data lake in the cloud
• Create governance rules for the data lake for easier and more efficient consumption
• Design and Implement security of the data in the data lake
• Design and Deploy EMR clusters in AWS for large-scale processing of varied data sets
• Monitor data lake performance and find ways to continuously improve query performance
• Monitor data lake costs /storage and build rules around data lifecycle management
• Enable master data across different domains through innovative ways to provide a single version of truth to downstream applications
• Collaborate with stakeholders, create architectural artifacts necessary for implementation and walk through solution design with other technical teams to ensure alignment
• Enable innovation through technology, conduct POCs, and make fact-based decisions to modernize the technology stack
• Work with IT and business partners to train and share knowledge on data lake, master data and data governance and enable adoption of data lake/data warehouse across the organization

Skills on Resume: 

• Cloud Data Lake Design and Implementation (Hard Skills)
• Data Governance and Management (Hard Skills)
• Data Security (Hard Skills)
• AWS EMR Cluster Deployment (Hard Skills)
• Performance Optimization (Hard Skills)
• Cost Management and Lifecycle Rules (Hard Skills)
• Master Data Management (MDM) (Hard Skills)
• Stakeholder Collaboration and Technical Communication (Soft Skills)

Job Summary: 

• Define customer analytic solution architecture and set technical direction
• Define component architecture, review detailed designs for accuracy and overall compliance with defined architecture
• Take responsibility for application stability and performance.
• Confirmation and identification of non-functional requirements.
• Adopt and communicate new concepts, ideas, techniques, and best practices.
• Provide technical leadership for application integrations via restful APIs
• Analyzing and troubleshooting complex software problems and providing solutions to overcome those problems using the latest technologies.
• Review development practices to identify areas of improvement.
• Review Data Mapping impacts from a technical point of view.

Skills on Resume: 

• Solution Architecture Design (Hard Skills)
• Component Architecture and Design Review (Hard Skills)
• Application Stability and Performance Management (Hard Skills)
• Non-Functional Requirements Analysis (Hard Skills)
• Adoption of Best Practices (Soft Skills)
• Technical Leadership in API Integrations (Hard Skills)
• Complex Problem Solving and Troubleshooting (Hard Skills)
• Development Practices and Data Mapping Review (Hard Skills)

Job Summary: 

• Work closely with the engineering/analytics team to design, build, optimize and maintain a modern data warehouse.
• Play a key role in supporting timely, accurate, and consistent metrics and reporting to drive decisions across the company.
• Responsible for monitoring analytics databases and triaging issues in data pipelines and reporting directly to the CTO.
• Architect and build data warehouses using a modern cloud architecture
• Ensure the data is reliable and can be used to make business decisions
• Maintain and publish project business rules and the associated data dictionary
• Make an amazing data warehouse architecture that scales and is straightforward to use
• Partner with a team of analysts to make them even better at their jobs
• Use an analytical, data-driven approach to drive a deep understanding of fast-changing business.
• Build large-scale batch and near-real-time data pipelines with data processing frameworks using CDC and GCP.

Skills on Resume: 

• Cloud Data Warehouse Architecture (Hard Skills)
• Data Pipeline Optimization (Hard Skills)
• Analytics Database Monitoring (Hard Skills)
• Business Intelligence and Reporting (Hard Skills)
• Data Governance and Management (Hard Skills)
• Collaboration with Analysts (Soft Skills)
• Data Processing Frameworks (Hard Skills)
• Analytical and Data-Driven Approach (Soft Skills)

Job Summary: 

• Define and build company-wide frameworks and libraries that will enable faster, better and more informed decision-making for business and help create customer value out of data and analytics.
• Share the responsibility to achieve targeted business impact with the help of data and modern data technologies in collaboration with business owners, subject matter experts, and data scientists.
• Work with key stakeholders within the company to help model data landscape, obtain data extracts, and define secure data exchange approaches
• Plan and deliver secure, good-practice data integration strategies and approaches
• Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
• Create and manage data environments in the Cloud
• Collaborate with data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
• Utilize a strong understanding of Information Security principles to ensure compliant handling and management of client data

Skills on Resume: 

• Framework and Library Development (Hard Skills)
• Business Impact and Data Collaboration (Soft Skills)
• Data Landscape Modeling and Secure Exchange (Hard Skills)
• Data Integration Strategies (Hard Skills)
• Big Data Platforms (Hard Skills)
• Cloud Data Environment Management (Hard Skills)
• Data Preparation for Advanced Analytics (Hard Skills)
• Information Security (Hard Skills)