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Senior Manager of Data Engineering

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Onsite

Senior Manager of Data Engineering

Farther

Senior Manager of Data Engineering

Skills

SQL QueriesData EngineeringPythonPostgreSQLAWS LambdaMachine LearningAIAWS

3 months ago

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Important information


Location:

New York, NY, USA

Work mode:

Onsite

Published on:

7 August 2026

What they need


Who you are

  • 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
  • Experience running a global or distributed data team
  • Bitemporal or point-in-time financial data modeling
  • Data governance, lineage, and fine-grained access control
  • Experience supporting AI/ML systems with production data products

What the job involves

  • As the Senior Manager, Data Engineering at Farther, you will own the data platform powering a modern, technology-driven wealth management firm — the security master, custodial pipelines, and canonical financial models every downstream system depends on
  • The platform is already in production. Your mandate is to take it much further: define the roadmap, own it end-to-end, and execute — growing the team and expanding what the platform makes possible across the firm, including the AI systems built on top of it
  • Own and execute 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 Schwab, Fidelity, Pershing, and other custodians
  • Drive data quality, reconciliation, lineage, and governance across regulated datasets
  • Technical Stack:
  • PostgreSQL, Python, SQL
  • AWS (S3, Lambda, ECS Fargate, Glue, Athena, Step Functions)
  • Parquet-based data lake, infrastructure-as-code (CDK), CI/CD-driven delivery
  • AI/agent integrations built on the platform (Anthropic, AWS Bedrock)

Benefits

  • Opportunity to work with a talented team of professionals.
  • Drive the success of a venture-backed, rapidly growing firm

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