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Manager Software Engineering
fivetran · Oakland, CA · Posted 20 days ago
Lead the engineers behind scheduling, workflow management, application security, and database systems that move data for thousands of companies.
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.
Fivetran and dbt Labs build data pipelines that power the modern data stack for thousands of companies.
As Engineering Manager for the Data Application Platform team, you’ll lead the engineers responsible for core systems that support data movement, including scheduling and workflow management, application security, and database systems. You’ll guide team execution and career development, partner with technical leads on architectural strategy, and help the team deliver critical initiatives reliably.
This is a hands-on leadership role. You’ll focus on growing people, building a healthy delivery process, and shaping technical direction, while staying close to the code and architecture so you can make sound technical decisions and earn the trust of a senior engineering team.
This is a full-time position based in our Oakland, CA office. Our hybrid work model combines remote flexibility with in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
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This posting is sourced from fivetran's own career site — applying takes you there directly.
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There are 181 open roles at fivetran right now. This role is one of 9,090 Software Engineer openings and centers on Java, Engineering Management, Software Architecture, and Data Platforms.
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