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Farther FinanceFarther FinanceNew York, NY

Senior Manager, Data Engineering

Leads the data engineering function and owns the platform supporting custodial ingestion, security master data, canonical financial models, governance, and AI-ready products. Requires 8+ years in data platforms, management experience, broker/dealer exposure, and strong PostgreSQL, AWS, and Python expertise.

Salary not listed
Hybrid8+ YOEData Engineering

About the role

Responsibilities

  • 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 a high bar for technical quality.
  • Own the firm's security master, including 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.

Requirements

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

Technical Stack

  • PostgreSQL
  • Python
  • SQL
  • AWS, including S3, Lambda, ECS Fargate, Glue, Athena, and Step Functions
  • Parquet-based data lakes
  • Infrastructure as code with CDK
  • CI/CD-driven delivery
  • Anthropic and AWS Bedrock AI/agent integrations

Nice-to-Haves

  • 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.

Compensation and Benefits

  • Competitive compensation package.
  • Full health benefits.
  • 401(k) matching and Roth IRA options.
  • Unlimited PTO.

Skills

PostgresPythonSQLAWSamazon s3AWS Lambdaamazon ecs fargateaws glueamazon athenaaws step functionsparquetaws cdkCI/CDAnthropicaws bedrock

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