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

Nxt Level • United States

Relocation

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AI Summary

Lead the architecture and modernization of a unified data fabric and lakehouse platform, designing scalable patterns for access, interoperability, governance, and productization across business and technology teams. Own Apache Iceberg-based data platform capabilities including ingestion, replication, streaming, and lifecycle management while extending platform support for AI/ML ecosystems. Serve as senior engineering lead, mentoring junior engineers and driving technical roadmap execution for firm-wide data and AI initiatives.

Key Highlights

Architect and build world-class data engineering capabilities for massive pipelines with AI-powered insights

Own Apache Iceberg-based data platform design and evolution for batch and streaming use cases

Extend platform to support AI/ML ecosystem including curated datasets and feature pipelines

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Key Responsibilities

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 compute architecture across stateful, stateless, and distributed processing layers—balancing performance, resiliency, scalability, and cost

Design and drive adoption of event-driven patterns for real-time ingestion and data movement with low-latency, reliable, observable flows

Extend platform capabilities to support the firm's AI/ML ecosystem, including curated datasets, feature-ready pipelines, training/inference data services, and integration points for model development and deployment

Translate business and engineering priorities into a clear technical roadmap—sequencing platform investments for long-term value

Serve as a senior engineering lead across strategic platform domains, partnering with app engineering, enterprise architecture, data consumers, and ML stakeholders

Establish standards for data quality, observability, lineage, governance, security, and operational excellence across batch and streaming environments

Mentor junior engineers and raise the bar on design rigor, implementation quality, and operational ownership

Evaluate emerging technologies, run PoCs, and recommend production-ready solutions aligned with target-state architecture

Technical Skills Required

Apache Iceberg Python SQL Cloud-native/containerized experience

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Benefits & Perks

Onsite 4 days/week in Boston, MA

Onsite 5 days/week in New York City, NY

Relocation assistance available

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Nice to Have

Experience in AI Harness engineering

Job Description

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

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