How much experience is required?

At least 8 years of relevant experience for this Senior Manager, Data Engineering role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Athena, ECS Fargate, Glue, Lambda, Parquet.

What seniority level is this role?

Farther targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Senior Manager, Data Engineering role at Farther.

Senior Manager, Data Engineering at Farther

Joblaze summary

In the role of Senior Manager, Data Engineering at Farther, the individual will oversee the development and execution of a comprehensive data platform that supports the firm's wealth management operations. Key skills include extensive experience with security master data, data modeling, and proficiency in PostgreSQL, AWS, and Python. This position is ideal for a seasoned professional with a strong background in data platforms and team management, particularly within the financial services sector. Farther offers a collaborative environment where innovative solutions are encouraged to enhance client experiences.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Farther's career page.
Farther has 35 other open roles including Senior Frontend Engineer, Conversational & Gen UI, Client Transitions Associate, Senior Trading Associate.
6517 active Python roles on Joblaze right now.
2727 active AWS roles on Joblaze right now.
2267 active SQL roles on Joblaze right now.
Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3225 roles). See Python salary trends

Quick facts

How much experience is required?: At least 8 years of relevant experience for this Senior Manager, Data Engineering role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Athena, ECS Fargate, Glue, Lambda, Parquet.
What seniority level is this role?: Farther targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Manager, Data Engineering role at Farther.

From the original posting

Company Description

Farther 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 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!