[Hiring] Manager, Software Engineering @Fivetran

Role Description

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
• 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.

Qualifications

• 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-facing APIs, SDKs, or CLIs.

Benefits

• 100% employer-paid medical insurance
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
• RSU stock grants
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.