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Senior Manager, Data Engineering
FartherSenior Manager, Data Engineering owning Farther’s data platform for technology-driven wealth management. Leading the team, security master, custodial pipelines, canonical financial models, and AI-ready data products.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data platform management, including security master oversight, data modeling, and team leadership. Proficient in executing data quality governance and integrating AI systems within a financial services context.
Highest-signal resume keywords
Data Platform ManagementSecurity Master ExperienceData Modeling SkillsPostgreSQL ExpertiseAWS Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Quality GovernanceData ReconciliationData LineagePython ProgrammingSQL ProficiencyParquet-based Data LakesInfrastructure-as-CodeCI/CD DeliveryAI/Agent IntegrationsCanonical Data Models
Soft Skills
Team LeadershipTechnical Quality Setting
Tools & Technologies
PostgreSQLAWSCDKCI/CD ToolsAnthropicAWS Bedrock
Industry Keywords
Broker/Dealer ExperienceReference DataCorporate ActionsGolden-Source ResolutionRegulated Datasets
Tech Stack
Tools & technologiesAWSPostgresPythonSQL
About the role
Key responsibilities & 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, 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
- Define the platform roadmap, own it end-to-end, and execute its expansion across the firm and AI systems
Requirements
What you’ll need- 8+ years in data platform roles
- 4+ years managing data teams
- Deep security master experience with 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
- Strong hands-on expertise with PostgreSQL, AWS, and Python
- Experience with SQL
- Experience with Parquet-based data lakes
- Experience with infrastructure-as-code using CDK
- Experience with CI/CD-driven delivery
- Experience with AI/agent integrations, including Anthropic and AWS Bedrock
Benefits
Comp & perks- Learn & grow through book clubs, seminars, and peer learning sessions
- Competitive comp package that rewards impact
- Full health benefits
- 401(k) matching
- Roth IRA options
- Unlimited PTO
- Collaborative atmosphere between product, design, and engineering
- Ground-floor opportunity at a fast-scaling startup
- Chart your own growth path as we expand