Data Engineering Lead

As Data Engineering Lead, you will own SuperDial's data platform end-to-end, scaling the warehouse, pipelines, and analytics workflows that power product decisions, go-to-market execution, and company-wide planning.

Requirements

• 2+ years of experience in Analytics Engineering, Data Engineering, or BI Engineering roles
• Deep hands-on experience with dbt, especially incremental models, and modern analytics engineering workflows
• Very strong SQL skills and a track record of designing durable data models
• Prior ownership of a production data warehouse in a scaling environment
• Experience managing data pipelines, orchestration, and workflow dependencies
• Proficiency with Python and orchestration tools such as Airflow or similar
• Familiarity with cloud data platforms and infrastructure, and NoSQL databases (like Google Cloud Firestore, Mongo, etc.)
• Experience working with high-performance or specialized data systems (e.g., ClickHouse or similar) is a plus
• Strong ownership mindset with comfort driving ambiguous initiatives end-to-end
• Clear communication skills and ability to partner with technical and non-technical stakeholders

Benefits

• Competitive compensation
• Meaningful equity
• Opportunity to shape and grow the data function over time