Senior Manager, Data Engineering

Company DescriptionFarther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience.Farther’s founders are leaders and innovators from the private wealth industry who possess a unique blend of traditional wealth management, fintech, and technology production expertise.We’re backed by top-tier venture capital firms, fintech investors, and industry leaders.Joining Farther means joining a collaborative team of entrepreneurs who are passionate about helping their clients and our teammates achieve more. If you’re the type who breaks through walls to get things done the right way, we want to build the future of wealth management with you.The RoleAs 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 ImpactOwn and execute the data platform roadmap — from custodial ingestion through the security master to AI-ready data productsLead and grow the data engineering team, setting the bar for technical qualityOwn the firm's security master: reference data, corporate actions, and golden-source resolution across vendorsDesign canonical models unifying accounts, positions, and transactions across Schwab, Fidelity, Pershing, and other custodiansDrive data quality, reconciliation, lineage, and governance across regulated datasetsThe Ideal Match8+ years in data platform roles, with 4+ years managing data teamsDeep security master experience — instrument reference data, corporate actions, multi-vendor golden-source resolutionPrior experience on the data team at a broker/dealerExceptional data modeling skills — schemas that are correct, extensible, and built to lastStrong hands-on expertise with PostgreSQL, AWS, and PythonA builder's mindset — energized by scaling a strong foundation into something category-definingTechnical StackPostgreSQL, Python, SQLAWS (S3, Lambda, ECS Fargate, Glue, Athena, Step Functions)Parquet-based data lake, infrastructure-as-code (CDK), CI/CD-driven deliveryAI/agent integrations built on the platform (Anthropic, AWS Bedrock)Bonus PointsExperience running a global or distributed data teamBitemporal or point-in-time financial data modelingData governance, lineage, and fine-grained access controlExperience supporting AI/ML systems with production data productsWhy Join UsLearn & grow through book clubs, seminars, and peer learning sessionsCompetitive comp package that rewards impactWork alongside some of the brightest minds in fintechGround-floor opportunity at a fast-scaling startupChart your own growth path as we expandFull health benefits + 401(k) matching & Roth IRA optionsUnlimited PTOAn amazing collaborative atmosphere between product, design, and engineering to solve hard problems togetherReady to disrupt wealth management? Let's talk!