F
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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