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Data Team Lead

Job in New York, New York County, New York, 10261, USA
Listing for: Enzo Tech Group
Full Time position
Listed on 2026-02-11
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Cloud Computing
Job Description & How to Apply Below
Location: New York

A large, regulated enterprise is engaging a senior Data Engineering Delivery Lead to drive high-impact cloud data platform modernisation initiatives.

This is an engineering-led delivery role
, focused on owning complex AWS and Databricks programmes end-to-end - from requirements and architecture translation through to execution, governance, and executive reporting.

The engagement is contract-first, with strong potential for extension and future scope as the broader data transformation scales.

What You’ll Be Doing
  • Lead enterprise-scale data engineering and platform modernisation programmes
  • Own delivery of AWS-based data platforms
    , including migrations and greenfield builds
  • Translate architecture and strategy into executable delivery plans
  • Run stakeholder workshops and shape business requirements (BRDs)
  • Manage onshore and offshore engineering squads
  • Own RAID, governance, and programme stability
  • Coordinate multiple vendors and partners —
    outcomes over slideware
  • Present progress, risks, and investment decisions to senior technology and business leadership
  • Estimate costs, resourcing, and timelines for large-scale initiatives
This Role Is (Non-Negotiable)

You must have led:

  • Data lake / data warehouse builds
  • ETL and ingestion pipelines
  • Platform migrations or modernisation initiatives
  • Multi-squad engineering delivery in enterprise environments
This Role Is NOT
  • Data science or ML research leadership
  • GenAI-only product roles
  • BI-only or reporting-focused management
  • Startup-only CTO profiles without enterprise delivery depth
Required Experience
  • Proven delivery leadership in regulated, enterprise environments
  • Experience working within CIO / enterprise technology organisations
  • Strong understanding of data governance and operating models

Industry experience is flexible - insurance is a plus, not a requirement. Other relevant backgrounds include financial services, utilities, healthcare, pharma, or telecoms.

Core
  • AWS data stack
  • Databricks
  • ETL / streaming platforms
Nice to Have
  • Snowflake
Why This Opportunity
  • Own flagship, enterprise-wide data initiatives
  • High visibility with senior technology leadership
  • Engineering-first environment (not strategy theatre)
  • Opportunity to shape future hiring and delivery scope
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