Engineering Manager, Data Pipelines (Remote - Worldwide)

Candidates can apply from any country; the team is fully distributed across time zones. A fast-growing developer backend platform company is hiring an Engineering Manager to lead its data pipelines team. The team runs a managed change data capture product that copies selected tables from a Postgres database into analytical destinations and then streams ongoing changes. This is a people, delivery and technical leadership role. You will not be expected to write production code, but you will shape design, quality and operations for a team that works close to customer databases.

What you'll do

• Build and grow a high-trust, remote-first team by running 1:1s, performance management, career development and onboarding.
• Own hiring for the team as hiring manager and first-round interviewer, working with talent acquisition.
• Own the team's roadmap, milestones and cross-team intake, deciding what gets prioritized, routed or declined.
• Balance support work against the team's service level objectives and surface risks and tradeoffs to leadership early.
• Train as an incident commander, coordinate production incident response, and lead blameless post-incident reviews.
• Set the bar for testing, operational readiness and engineering quality in design discussions.

What you need

• 5+ years of engineering experience, with enough depth to be credible with engineers building complex distributed systems.
• 3+ years managing remote engineering teams across time zones, working asynchronously.
• Experience managing a team that built or ran data pipelines, change data capture, replication or streaming systems.
• Solid understanding of delivery guarantees, ordering, idempotency, schema changes and backfills.
• Working knowledge of Postgres logical replication, WAL and replication slots, and their effect on production databases.
• Experience leading a team through production incidents on systems holding customer data.
• Strong written communication and a track record of handling performance issues directly.
• Experience with analytical destinations such as BigQuery, Snowflake, ClickHouse or Iceberg is a plus, as is Rust experience.

Open to applicants anywhere in the world.

How to apply

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