Engineering Manager, Metadata

<div class="content-intro"><p>From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.</p></div><p><span style="font-size: 10pt;"><strong>About Us</strong></span></p> <p><span style="font-size: 10pt;">Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.</span></p> <p><span style="font-size: 10pt;">T</span><span style="font-size: 10pt;">ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.&nbsp;</span></p> <p><span style="font-size: 10pt;">As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.</span></p> <h2><span style="font-size: 10pt;">About the Role</span></h2> <p><span style="font-size: 10pt;">Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.</span></p> <p><span style="font-size: 10pt;">You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.</span></p> <p><span style="font-size: 10pt;">This is a full-time, fully remote position. There are occasional in office meetings held in our New York, NY office.</span></p> <h2><span style="font-size: 10pt;">What You'll Do</span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Contextualize and communicate the engineering vision and strategy t