Data Warehouse Architect 5 - Solutions Architect

Job Title: Data Warehouse Architect 5 - Solutions Architect

Location: Lansing, MI - Hybrid

Work Arrangement: Onsite Wednesdays & Thursdays required

Duration: 1+ Year Contract

Position Overview

We are seeking an experienced Data Warehouse Architect 5 / Data Platform Solutions Architect to lead enterprise data platform architecture, modernization, strategy, governance, and technology innovation initiatives.

The ideal candidate will have extensive experience designing and implementing Enterprise Data Platforms, Data Warehouses, Data Lakes, and modern cloud-based data architectures. This role will involve close collaboration with enterprise architects, engineering teams, business stakeholders, security teams, and technology vendors.

The selected candidate will contribute to data warehouse and analytics platform modernization, evaluate emerging technologies, establish architecture standards, and ensure data, analytics, and machine learning solutions align with enterprise strategy, governance, security, and architectural standards.

Key Responsibilities

• Lead enterprise data architecture and modernization initiatives.
• Develop enterprise data landscapes, data strategies, and data architecture approaches.
• Define target-state data architectures, engineering standards, methodologies, and best practices.
• Collaborate with Enterprise Architects and cross-functional technology teams.
• Evaluate and recommend cloud and data platform technologies and vendors.
• Lead RFI/RFP and procurement activities related to data platform technologies.
• Partner with technology vendors to develop innovative Enterprise Data Platform capabilities.
• Lead Proofs of Concept (POCs), technology evaluations, Codathons, and innovation initiatives.
• Establish and promote data architecture, governance, security, and technology standards.
• Support data-driven decision-making through Communities of Practice and knowledge-sharing initiatives.
• Ensure data, analytics, and machine learning platforms align with enterprise architecture and security standards.

Required Qualifications

• 5+ years of experience leading Data Architects and collaborating with Enterprise Architects.
• Experience developing Enterprise Data Landscapes, Data Strategies, and Data Architecture approaches.
• Strong understanding of enterprise architecture frameworks such as TOGAF 9, FEAF, or DODAF.
• Experience aligning data, application, technology, and business landscapes with enterprise strategy.
• Experience developing Data Engineering standards, methodologies, best practices, and target-state architectures.
• 3+ years of experience driving RFI/RFP/procurement processes for data platform technologies.
• Experience evaluating and selecting cloud and data platform technologies and vendors.
• Experience working with technology vendors to develop enterprise data platform capabilities.
• Experience leading POCs, technology evaluations, Codathons, and innovation initiatives.
• Experience promoting data-driven decision-making through Communities of Practice and knowledge-sharing programs.

Preferred Technical Experience

• Enterprise Data Platforms (EDP)
• Data Lakes / Delta Lake
• Databricks
• Data Warehousing
• Cloud-based Data Platforms
• Data Marts
• Operational Data Stores (ODS)
• NoSQL Databases
• Graph Databases
• Data Analytics and Machine Learning Platforms
• Data Governance
• Data Security
• Metadata Management