Lead Data Platform Engineer

Beyond Finance is dedicated to helping everyday Americans overcome debt and achieve financial stability. They are seeking a Lead Data Platform Engineer to oversee the production data layer, manage ETL processes, and ensure the reliability of data systems while mentoring team members.

Responsibilities:

• Own the architecture and technical roadmap for the team's pipelines, integrations, and datastores, and make the calls on the tradeoffs that shape them
• Work with leadership to prioritize problems and help translate broad goals into concrete work the team can pick up
• Set the standards the team builds against: infra-as-code, schema contracts, observability, testing, on-call practices, and incident response
• Guide the replication pipelines that sync Salesforce data into our Aurora and Postgres databases through Informatica and Fivetran
• Set direction for the production Postgres databases behind our applications, covering query performance, indexing, access control, and migration review
• Hold the bar on the outbound jobs that deliver data to third-party partners and the inbound pipelines that ingest and process partner files, including validation, auditability, and reprocessing
• Partner with engineering management on planning, scoping, and team growth, and represent Data Engineering in cross-team technical decisions
• Mentor engineers across levels and raise the bar through code review, while delivering increasingly through others rather than your own output alone
• Lead the team through production incidents as the senior technical voice, then drive the systemic fixes that prevent the next one

Requirements:

• 8+ years building and operating production data systems, including time spent owning the technical direction of a team or a major initiative
• A track record of creating clarity from ambiguity, setting direction others can execute against rather than only executing well-defined work
• Deep SQL expertise, including query optimization, indexing, schema design, and operating databases under production load
• Strong command of replication and ETL/ELT tooling such as Fivetran, Informatica, or Airbyte, with the judgment to choose the right approach for a given problem
• Working knowledge of AWS, GCP, or Azure data services
• Comfort writing and reviewing Ruby on Rails or a comparable language
• Ability to define and defend schema contracts across systems and teams you don't fully control
• Calm, decisive leadership through production data incidents, and the discipline to follow up with durable fixes
• Clear, direct communication and the ability to align several teams around a technical direction
• Experience with and willingness to work with agentic AI coding tools