Senior Data Platform Lead - AI-Ready Data & Governance

Farther

New York (NY)

Hybrid

USD 170,000 - 210,000

Full time

14 days+

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Job summary

Farther is seeking a Senior Manager, Data Engineering to own and scale the firm's data platform—covering custodial pipelines, security master, and canonical financial models used by downstream systems.

You will define the roadmap, lead and grow the data engineering team, and drive data quality, governance, and multi-vendor reference data across custodians like Schwab, Fidelity, and Pershing. NYC-based, on-site role.

Qualifications

  • 8+ years in data platform roles, with 4+ years managing data teams.
  • Deep security master experience — instrument reference data, corporate actions, multi-vendor golden-source resolution
  • Prior experience on the data team at a broker/dealer
  • Exceptional data modeling skills — schemas that are correct, extensible, and built to last
  • Strong hands-on expertise with PostgreSQL, AWS, and Python
  • A builder's mindset — energized by scaling a strong foundation into something category-defining

Responsibilities

  • Own the data platform roadmap — from custodial ingestion through the security master to AI-ready data products
  • Lead and grow the data engineering team, setting the bar for technical quality
  • Own the firm's security master: reference data, corporate actions, and golden-source resolution across vendors
  • Design canonical models unifying accounts, positions, and transactions across custodians
  • Drive data quality, reconciliation, lineage, and governance across regulated datasets

Skills

Data platform leadership
Data team management
Data modeling
PostgreSQL
AWS
Python
Broker-dealer data
Canonical data models
Collaboration

Tools

AWS Bedrock
Anthropic
S3
Lambda

Job description

Farther is seeking a Senior Manager, Data Engineering to own and scale the firm's data platform—covering custodial pipelines, security master, and canonical financial models used by downstream systems.

You will define the roadmap, lead and grow the data engineering team, and drive data quality, governance, and multi-vendor reference data across custodians like Schwab, Fidelity, and Pershing. NYC-based, on-site role.

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