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    Data Architect with AWS Data Lake - Ottawa, Canada - Brainhunter

    Brainhunter
    Brainhunter Ottawa, Canada

    Found in: Talent CA C2 - 5 days ago

    Default job background
    Description
    Data Architect - #61310

    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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