Lead Data Platform Engineer

At Beyond Finance, we've made it our mission to help everyday Americans escape the endless cycle of crippling debt and step into a brighter financial future. Through compassionate, individualized care, a culture focused on compliance and ethics, supportive user-centric technology, and customized financial solutions, we've helped over 1 million clients on their path to a brighter future. While we're proud of what we've already accomplished, we're searching for new collaborators to help us get to the next level! If you're looking to join a forward-thinking, rapidly growing organization with helping people as its number one goal, we want to hear from you. About the Role You'll join our Data Platform Engineering team, which owns the production data layer connecting Beyond Finance's systems of record to the applications and partners that depend on them. We build and operate the ETL and reverse-ETL pipelines that replicate data across those systems. Data Platform Engineering owns the movement of data to and from third-party partners, as well as keeping the datastores behind them healthy and performant. As the lead engineer, you'll own the technical direction for this work, turn ambiguous mandates into plans the team can execute, and be accountable for the reliability of the systems we run. We value operational rigor, clear ownership, and practical engineering practices. Reliability for us means the data is correct, complete, and on time. What You'll Do 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 d eliver 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 ...