Senior Manager, Data Engineering

Farther

$150K — $180K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in data platform roles, including 4+ years managing teams
  • Deep knowledge of security master and reference data processes
  • Proven experience at a broker/dealer data team
  • Exceptional data modeling skills with emphasis on schema design
  • Strong hands-on skills with PostgreSQL, AWS, and Python
  • Builder's mentality with a passion for scaling data solutions

Responsibilities

  • Own and execute the data platform roadmap end-to-end
  • Lead and expand the data engineering team, ensuring high technical standards
  • Manage the security master and related reference data for corporate actions
  • Design and unify canonical financial models across multiple custodians
  • Ensure data quality and governance across regulated datasets

Benefits

  • Opportunities for learning and growth through book clubs and seminars
  • Competitive compensation package aligned with impact
  • Collaborative environment with top talent in fintech
  • Ground-floor opportunity in a rapidly scaling startup
  • Clear growth paths as the company expands
  • Comprehensive health benefits with 401(k) matching
  • Unlimited paid time off
Full Job Description
The Role

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.
Your Impact
  • 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
The Ideal Match
  • 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
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)
Bonus Points
  • 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
Why Join Us
  • Learn & grow through book clubs, seminars, and peer learning sessions
  • Competitive comp package that rewards impact
  • Work alongside some of the brightest minds in fintech
  • Ground-floor opportunity at a fast-scaling startup
  • Chart your own growth path as we expand
  • Full health benefits + 401(k) matching & Roth IRA options
  • Unlimited PTO
  • An amazing collaborative atmosphere between product, design, and engineering to solve hard problems together

Ready to disrupt wealth management? Let's talk!

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