Data Warehouse Architect - Solutions Architect

Job Duties

• Excels in tracking emerging industry capabilities for modern Data Platforms,
  
• Developing target state Data Platform Architecture, and architecting Data, Analytics, and ML Products that are aligned with the
  
• enterprise data strategy, data landscape, data skills, data security, and data sharing needs to support the realization of enterprise Business Strategy outcomes
  
• Designs, implements, and supports MDHHS data warehouse and analytics platform modernization initiatives
  
• Recommends and leads State of Michigan teams in adopting emerging cloud-based data services, analytical tools, and other modern technologies.
  
• Oversees the organizational sustainability of data warehouse and data analytics process improvement. The Data Platform Architect’s responsibilities include:
  
• Design and maintain the overall architecture for enterprise data platforms, ensuring scalability, reliability, and alignment with business objectives.
  
• Oversee the implementation of modern data platform components, such as storage, streaming, and orchestration services, and ensure they function cohesively.
  
• Establish governance frameworks for data quality, security, metadata management, and compliance with organizational and regulatory requirements.
  
• Collaborate with engineering, analytics, security, and business teams to translate strategic needs into technical solutions and roadmap initiatives.
  
• Responsible for selection of appropriate hardware, software, tools and system lifecycle techniques for different components of data warehouse architecture including ETL, Metadata, data profiling software, performance monitoring, reporting and analytic tools
  

Requirements

• Experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches using any industry standard Architecture framework such as TOGAF 9, FEAF, DODAF etc. to align data landscape with business, application and technology landscapes of an enterprise to support the implementation of data-driven business strategy.
  
• Experience in developing Reference Architectures, Architecture Patterns Library, conducting Architectural Reviews to identify exceptions, and managing the architectural exceptions to ensure architectural integrity of Enterprise Data Platform in a large enterprise.
  
• Experience in developing Enterprise Data Technology Strategies, articulating the use of the Data Engineering Delivery Methodologies, building the Data Engineering Standards & Best Practices to ensure alignment of Data/Analytics/ML Products with the Target State Architecture, and promoting the use of the Data Engineering products in the community of Users using industry standard Enterprise Architecture frameworks such as TOGAF, FEAF, DODAF etc.
  

• Experience in driving RFP process of selecting Data PlatformTechnologies, partnering with vendors to co-develop innovative EDP capabilities, drivingEDP innovation, and promoting data-driven decision-making culture in the enterprise through Communities of Practice etc.
  

Desired Skills

• Experience with Data Lake, Delta Lake, EDP, Data Warehousing, and Databricks
  
• Demonstrated experience in Supporting the enterprise in ensuring that all the Data Engineering efforts such as POCs, early implementations, and technology refresh of legacy systems etc. are aligned to help the Data Engineering team stay focused on systematically building and maturing the required technical and delivery capabilities
  
• Experience in tracking the Architectural adherence of Data Engineering Products and Pipelines to the Enterprise Architecture Standards and Best Practices and supporting the Data Engineering team to systematically enhance their capability maturity in delivering high-quality Data Engineering Products.
  
• Key Programming Languages: SQL, Python, R, Java
  
• Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data Warehousing, Data Marts, Databricks, Operational Data Stores, Power BI,
  

Minimum Education

• Bachelor's Degree
  

Location

• Open to local candidates or those willing to relocate BUT they must relocate from day one AND they must come on-site for 2nd round interview. Candidates not willing to do this will not be considered.
  
• Position
  is a hybrid schedule with NO remote-only option. Wednesdays and Thursdays are required on-site days (non-negotiable)
  
• Working hours
  Monday-Friday, approximately 8:00 a.m. to
  5:00 p.m. 
  

Additional
Requirements

• Must be authorized to
  work in the United States; We are unable to offer
  sponsorships at this time
  
• Must undergo a background check
  and drug screening for employment.
  

Employment
Terms

• This is a W2 position
  
• 40 hrs per week
  
• HYBRID schedule - NO remote-only option. Wednesdays and Thursdays are required on-site days (non-negotiable)
  

Benefits