Data Architect with AWS Data Lake
3 weeks ago
About the Job:
Mindwire is currently seeking a Senior Data Architect to work for our valued Federal Government client.
The position is remote.
Responsibilities: Increase clients data handling capacity by orders of magnitude (provide more data to consumers) Make data accessible, shareable and understandable (democratize data and increase value extraction) Provide data security and data access auditing Support data governance (automated data quality, data transformation, data assets, etc.) Support standardization (data concepts, master data, aggregation, trending, etc.) Streamline and automate data flows and business processes Ability to adjust system capacity to meet variable demand Support remarkable customer experiences with client data Requirements and Qualifications: Expert data modeling for complex operational transactional solutions with more 100+ entities. Expert dimensional data modeling for data warehouse or data lake solutions with 20+ dimensions. Demonstrated experience designing complex Enterprise, Common or Canonical Data Models. Practical experience leveraging Industry Reference Data Models preferably in healthcare, such as HL7 FHIR, RIM, Ontario CIM, etc Demonstrated experience implementing physical data models with new generation AWS Redshift data warehouse. Demonstrated experience with Data Lake concepts on a AWS platforms ideally with Informatica (AWS S3, Glue, EMR, Athena, Redshift Spectrum, Kinesis, VPC and Informatica Big Data management platform). Advanced understanding of Enterprise Data architecture concepts, patterns, and standards. Experienced in Data Architecture and Data Management approaches and implementation methodologies. Demonstrated project delivery experience providing data architecture leadership in large scale data architecture and data migration projects. Very good understanding of data warehouse methodologies including design patterns, data mapping, data integration, data testing and application performance tuning.
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