About this opportunity
Harnham lists this Enterprise Data Architect opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
A globally recognized architecture and design firm responsible for some of the most iconic buildings and urban environments in the world is looking for an Enterprise Data Architect to establish the enterprise data infrastructure foundation. Our client has deep internal data knowledge and a validated Databricks POC but lacks a senior architect to design and implement a scalable, production-grade lakehouse. This role moves the platform from concept to enterprise reality.
Key Differentiators vs Competitors:
True greenfield data architecture mandate
Direct partnership with senior leadership
High-impact role tied to analytics, AI, and design outcomes
Tangible, lasting impact on skylines and cities globally
Core Purpose:
Design and implement the firm’s enterprise Data Lakehouse architecture, moving the organization from POC to MVP and establishing the foundation for scalable analytics, AI/ML, and cost-efficient data operations.
Key Responsibilities & Ownership Areas:
Architect and build Databricks infrastructure on AWS
Design enterprise lakehouse architecture (Databricks + Snowflake)
Define patterns for moving data across enterprise systems and design platforms
Partner with Info Systems (platform ownership) and DevOps (infrastructure support) teams
Drive cost optimization and scalability strategies
Establish architectural standards, governance models, and technical roadmaps
Work directly with senior leadership, finance, and business operations
Help steer the long‑term vision for analytics and AI across the firm
Key Projects in First 6–12 Months:
Transition Databricks from POC to MVP
Define the enterprise data framework and game plan
Design what the future data lakehouse enables across the business
Build the foundation for transformational analytics and AI initiatives
Target Seniority / Years of Experience:
Senior Architect – 10+ years
Domain or Functional Expertise:
Enterprise data architecture, cloud platforms, analytics infrastructure
Ideal Company / Industry Background:
Proven experience building platforms from the ground up , either solo or in small teams. AEC experience is a plus but not required; practical, hands‑on execution is key.
Must-Have Skills:
Databricks (critical)
AWS
Snowflake
Cost optimization and platform strategy
Greenfield build experience
Nice‑to‑Have Skills:
Exposure to design or engineering data
Experience partnering with DevOps teams
Interest in analytics, ML, or AI enablement
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.