Hybrid Enterprise Data Platform Architect

I O DATASPHERE

Lansing (MI)

Hybrid

USD 120,000 - 170,000

Full time

3 days ago
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Job summary

Michigan Department of Health and Human Services (DHHS) is seeking a Data Platform Architect / Data Warehouse Architect to design and govern the enterprise data platform, enabling scalable data, analytics, and ML product capabilities aligned with the enterprise strategy.

Responsibilities include designing architecture, overseeing data platform components, establishing governance, and collaborating with engineering, analytics, security, and business teams to translate needs into technical

Qualifications

  • Design and maintain enterprise data platform architecture aligned with business objectives.
  • Oversee implementation of data platform components (storage, streaming, orchestration) and ensure cohesion.
  • Establish governance for data quality, security, metadata, and compliance.

Responsibilities

  • Design and maintain the overall architecture for enterprise data platforms, ensuring scalability and alignment with business objectives.
  • Oversee the implementation of modern data platform components (storage, streaming, orchestration) and ensure cohesive operation.
  • Establish governance for data quality, security, metadata management, and regulatory compliance.
  • Collaborate with engineering, analytics, security, and business teams to translate strategic needs into technical solutions and roadmaps.
  • Select appropriate hardware, software, tools and lifecycle techniques for data warehouse components including ETL and analytics tools.

Skills

Data Architecture
Enterprise Architecture
RFP Process
Data Governance
POCs & Codathon
Data Platform Strategy

Education

BS in Computer Science / Data Science / Information Systems

Tools

Databricks
Data Lake
Delta Lake
Data Warehousing

Job description

Michigan Department of Health and Human Services (DHHS) is seeking a Data Platform Architect / Data Warehouse Architect to design and govern the enterprise data platform, enabling scalable data, analytics, and ML product capabilities aligned with the enterprise strategy.

Responsibilities include designing architecture, overseeing data platform components, establishing governance, and collaborating with engineering, analytics, security, and business teams to translate needs into technical

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