• Location: New York NY
• Type: Contract
• Job #24838

Company Overview:
A leading global growth equity investor with over $100 billion in assets under management is seeking a Lead Data Engineer / Architect. This role will focus on designing and delivering the firm's next-generation Enterprise Data Warehouse and Reference Data environment.

Job Responsibilities:

• Design and implement the enterprise data warehouse on a modern stack for financial, operational, and investor datasets.
• Rebuild and govern accurate reference data domains ensuring proper lineage, version control, and cross-system consistency.
• Architect and build end-to-end data ingestion, transformation, and quality control workflows using technologies such as ADF, dbt, Airflow, Kafka, or equivalent toolsets.
• Implement metadata management and automated lineage modeling frameworks using tools like Collibra or Purview.
• Define standardized data models for analytical consumption, driving consolidation of financial, investor, and operational reporting datasets.
• Collaborate with Finance, Fund Accounting, Operations, and Technology leaders to translate business logic into executable data rules and ETL designs.
• Design and execute continuous monitoring mechanisms for data validity, timeliness, and completeness.

Qualifications:

• Demonstrated experience in data warehouse design, data modeling, ETL pipeline build, and master/reference data integration.
• Self-sufficient and technically rigorous, capable of building infrastructure independently or within a small team.
• Experience with metadata management and automated lineage modeling frameworks.
• Strong communication skills to influence senior stakeholders, including the CIO and CFO.
• Intellectually curious and focused on data integrity and business alignment.

Compensation:
Pay Rate: $170/hr