Senior Data Platform Engineer (AI / Data Fabric / Iceberg Lakehouse)

About this role

Senior Data Platform Engineer (AI / Data Fabric / Iceberg Lakehouse)

Location:
Boston, MA (Onsite 4 days/week) or New York City, NY (Onsite 5 days/week) - relocation assistance available.

About Our Client

Our client is a global investment firm building foundational
AI, data, and platform capabilities
to enable scale and business transformation. Their platform organization is responsible for evolving technology into robust, reusable, platform-based solutions that increase agility and deliver material business impact across the firm.

The Team

You’ll join a core
AI, Data, and Platform Technologies
engineering team that architects and supports the firm’s foundational data and AI capabilities. This team is a key enabler for firm-wide services—designing platform primitives that power AI and investment workflows at enterprise scale.

The Role

Our client is hiring a
Senior Engineer
to take a hands-on technical leadership role in Boston. You will help design and build world-class data engineering capabilities that process massive pipelines, leverage AI-powered insights and document extraction, and integrate across diverse cloud-powered databases.

You’ll define the technical blueprint for how the firm
structures, stores, governs, and leverages data
to support critical AI and investment platforms—ensuring integrity, performance, and accessibility at scale. This is an onsite role with expectations to be in the Boston office
4 days per week
.

What You’ll Do

- Lead the architecture, buildout, and modernization of a
unified data fabric
, establishing scalable patterns for access, interoperability, governance, and productization across business and technology teams
- Own the design and evolution of
Apache Iceberg-based
data platform capabilities: ingestion/egress, replication, streaming, performance tuning, lifecycle management, and adoption standards for analytical + operational use cases
- Define and implement c...