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- Scope of work
- Develop, refine, document, and publish data models and solutions to meet the data, reporting and analytic requirements for financial data sets managed by CITFN - these include clients Operation Data store, Loan Data mart, FSRS database and other financial data sets
- Understand and analyze data requirements with respect to enterprise data, data integration, data warehousing, master data management and enterprise reporting
- Establish the conceptual data, logical data, model design, and interface design
- Conceive preferred future state and integrate solutions with broader technology architecture used across the organization while articulating the needs of the future
- Collaborate with Program Managers to create data management artifacts and offer technical advice and alternative solutions
- Develop and recommend data management policies, standards, practices and security measures to ensure effective and consistent data management operations
- Manage daily technical challenges and communicates to management any risks or issues.
- SKILLS / EXPERIENCE REQUIRED
Senior Data Architect with Azure Cloud - Irving, United States - Resource Informatics Group
Description
JOB TITLE:
Senior Data Architect (Azure Cloud)
SHIFT:
2 days in office (Mon and Tues Onsite Candidate needs to be local to the DMV area or relocate 1 week prior)
LOCATION:
Pennsylvania Ave, Washington
DC
DURATION:
6+ Months
Manager Notes:
Looking for a senior data architect- someone who can define structures of data using data world for a new subject area that is cloud based in azure synapse.
Candidate must have extensive experience with Azure data lakes, data warehousing, azure synapse- someone who can help design their data migration
Data & analytics team for the client- manages loan marts, data store, lots of financial data-need someone to map their migration, data flows, design, etc
Job Description
Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake is highly preferred
Experience with enterprise architecture and data modelling tools
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