Engineering Manager, Metadata
Fivetran
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About the role
Role Overview
Engineering Manager for the Metadata team within the dbt platform at Fivetran. You’ll lead a team that owns the metadata layer—covering the Discovery API, catalog, lineage, and run history services—so customers can understand, trust, and act on what their data is doing.
Responsibilities
- Lead and grow a team of software engineers: hiring, onboarding, coaching, career development, and regular 1:1s
- Own project delivery against the quarterly plan and be accountable for service reliability and performance (e.g., uptime and latency targets)
- Review technical designs and code, providing feedback grounded in deep understanding of the Metadata product area and architecture
- Drive technical quality: manage incidents, bugs, tech debt, and post-mortems within SLA and metric targets
- Partner with product and business stakeholders on planning; maintain a realistic, prioritized backlog with a high completion rate
- Communicate engineering vision/strategy and the team’s business impact to adjacent teams
- Ensure engineering processes (e.g., FDLC) are implemented and consistently followed
- Delegate effectively, build autonomy, and foster a positive, high-trust culture
- Address performance issues and conflict promptly and fairly
- Ensure the team uses AI tooling to accelerate development and to help author/review SDLC artifacts (e.g., TDDs, PRDs, post-mortems, test plans)
Required / Key Skills (as provided)
- Experience managing and growing a software engineering team, including hiring (additional requirements are cut off in the provided text)
Nice-to-haves (not specified)
- Not explicitly stated in the provided excerpt
About Fivetran
Fivetran is a data infrastructure company that automates data movement into customers’ warehouses, delivering canonical, query-ready data without ongoing engineering or maintenance. It works to help organizations become data-driven by powering reliable data pipelines for analytics, AI, and business decisions. Fivetran is also bringing together teams and technology with dbt Labs to deliver a unified data stack layer from data movement through transformation and metadata context.
Scraped 8/12/2026