Datawarehouse Architect

Role Overview
Data Platform Architect / Data Warehouse Architect responsible for developing target-state enterprise data platform architecture and supporting data, analytics, and ML modernization initiatives. The role focuses on enterprise data strategy, architecture governance, cloud-based data platforms, and data-driven transformation. Location: Lansing, MI.

Key Responsibilities
• Design and maintain scalable, reliable enterprise data platform architecture
• Lead data warehouse and analytics platform modernization initiatives
• Evaluate and adopt emerging cloud-based data services and analytical technologies
• Oversee storage, streaming, orchestration, and other modern data platform components
• Establish governance frameworks for data quality, security, metadata, and compliance
• Develop reference architectures and architecture pattern libraries
• Conduct architectural reviews and manage architectural exceptions
• Collaborate with engineering, analytics, security, business, and enterprise architecture teams
• Lead RFP processes for data platform technology selection
• Select technologies for ETL, metadata, data profiling, performance monitoring, reporting, and analytics

Required Skills
• Enterprise Data Architecture, Data Strategy, and Data Landscape
• TOGAF 9, FEAF, DODAF, or similar architecture frameworks
• Reference Architectures and Architecture Patterns
• Architectural Reviews and Exception Management
• Enterprise Data Platform Architecture
• Data Platform Technology Selection and RFP Management
• Data Warehouse Architecture and Modernization
• BS in Computer Science, Data Science, Information Systems, or related field

Preferred Skills
• Data Lake and Delta Lake
• Enterprise Data Platform (EDP)
• Data Warehousing and Data Marts
• Databricks
• SQL, Python, R, Java
• NoSQL DB and GraphDB
• Operational Data Stores
• Power BI and Tableau