About the role
We're hiring a Senior Software Engineer to join the Semantic Layer team in Bangalore. You'll be a core contributor to MetricFlow, designing features, optimizing query generation, hardening the open-source codebase, and partnering with the community of contributors and adopters around it. This is a high-ownership role: you'll write production code, drive technical decisions, and help shape the long-term architecture of one of the most important projects in the modern data stack.
Responsibilities:
- Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others).
- Own MetricFlow as an open-source project: triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack.
- Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem.
- Improve performance, reliability, and observability of metric query execution at scale.
- Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements.
- Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships.
- Mentor other engineers through code review, pairing, and technical guidance.
Requirements:
- Strong professional software engineering experience, with a strong track record of shipping production systems.
- Deep proficiency in Python, including modern typing, testing practices, and packaging.
- Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries.
- Experience designing systems that involve parsing, compilation, or transformation, for example, query planners, DSL compilers, type systems, or rule-based engines.
- Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility.
- Excellent written and verbal communication: you can explain complex tradeoffs clearly to engineers, PMs, and external community members.
- Experience collaborating in a distributed, asynchronous team environment.
Bonus Skills (Optional):
- Prior experience contributing to or maintaining a popular open-source project.
- 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.