Enterprise Data Architect

Harnham; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

Unknown is seeking an Enterprise Data Architect to design and implement the firm’s enterprise Data Lakehouse, moving from POC to MVP and establishing a scalable analytics foundation for AI and data operations.

You will architect Databricks infrastructure on AWS, integrate Snowflake, collaborate with senior leadership, and define governance, data movement patterns, and a long-term analytics roadmap to shape data-enabled design across the organization.

Qualifications

• Must-Have: Databricks infrastructure on AWS and knowledge of lakehouse architecture (Databricks + Snowflake).
• Strong experience building enterprise data frameworks and governance models.
• Ability to partner with senior leaders and drive cost optimization and scalability.

Responsibilities

• Architect and build Databricks infrastructure on AWS.
• Design enterprise lakehouse architecture (Databricks + Snowflake).
• Define patterns for moving data across enterprise systems and design platform.
• Partner with Info Systems and DevOps for infrastructure support.
• Drive cost optimization and scalability strategies.
• Establish architectural standards, governance models, and technical roadmap.
• Work directly with senior leadership, finance, and business operations.
• Help steer the long-term analytics and AI vision across the firm.

Skills

Databricks

Snowflake

Cost optimization

Platform strategy

Greenfield build

Cloud platforms

Analytics infrastructure

Tools

AWS

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 AW
• SDesign enterprise lakehouse architecture (Databricks + Snowflake
• )Define patterns for moving data across enterprise systems and design platform
• sPartner with Info Systems (platform ownership) and DevOps (infrastructure support) team
• sDrive cost optimization and scalability strategie
• sEstablish architectural standards, governance models, and technical roadmap
• sWork directly with senior leadership, finance, and business operation
• sHelp steer the long-term vision for analytics and AI across the fir

mKey Projects in First 6–12 Months

• :Transition Databricks from POC to MV
• PDefine the enterprise data framework and game pla
• nDesign what the future data lakehouse enables across the busines
• sBuild the foundation for transformational analytics and AI initiative

Target Seniority / Years of Experienc

e:Senior Architect – 10+ yea

Domain or Functional Expertis

e:Enterprise data architecture, cloud platforms, analytics infrastructu

Ideal Company / Industry Backgroun

d: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 ke

Must-Have Skill

• s:Databricks (critica
• l)A
• WSSnowfla
• gnCost optimization and platform strate
• gyGreenfield build experien

Nice-to-Have Skill

• s:Exposure to design or engineering da
• taExperience partnering with DevOps tea
• msInterest in analytics, ML, or AI enableme