Manager, Software Engineering

Role details

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. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, 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. 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. About the Role We're hiring an Engineering Manager to lead the Semantic Layer team in Bengaluru. You'll own the health, delivery, and growth of the team behind MetricFlow — building and coaching a group of engineers, setting technical direction in partnership with your leads, and ensuring one of the most important projects in the modern data stack keeps shipping with quality and momentum. This is a hands-on leadership role. You'll spend most of your time growing people, running a healthy delivery process, and shaping strategy — but you'll stay close enough to the code and the architecture to make sound technical calls and earn the trust of a senior engineering team. You'll also be the steward of a public, community-facing open-source project, balancing the needs of internal roadmap and external contributors. About the team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. The team works at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. What you'll do Lead, coach, and grow a team of software engineers building MetricFlow — hiring, onboarding, career development, performance management, and day-to-day support. Own delivery for the Semantic Layer team: planning, prioritization, execution, and predictable shipping of high-quality software. Partner with your senior and staff engineers to set technical direction across metric definitions, query compilation, dimensional modeling, and SQL generation for multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Steward MetricFlow as an open-source project — set the bar for how the team triages issues, reviews external pull requests, manages releases, and engages the community on GitHub and in Slack. Collaborate with engineering leaders across the dbt platform, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Partner with product, design, and developer-relations counterparts to translate customer and community feedback into a clear, well-sequenced roadmap. Drive engineering excellence in performance, reliability, and observability of metric query execution at scale. Foster a culture of design docs, thoughtful code review, and durable engineering — shipping fast without shipping sloppy. Skills we're looking for Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems. A strong engineering foundation — you've built and shipped production software yourself and can engage credibly on architecture and technical tradeoffs with a senior team. Familiarity with the technical domain: SQL fundamentals, how analytical query engines and data warehouses execute queries, and systems that involve parsing, compilation, or transformation (query planners, DSL compilers, type systems, or rule-based engines). Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility — and the judgment to hold a team to them. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, product managers, and external community members. Experience leading in a distributed, asynchronous team environment. Nice to have Experience leading or contributing to a popular open-source project, including managing a community of external contributors. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer