Data Engineer

About the Role

We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects.

What You Will Be Doing

• Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, Dagster, dlt, Terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane)
• Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
• Scale our Terraform deployment across all of our Snowflake assets
• Continue to advance our data governance policies
• Work cross-functionally across Product, Engineering, and GTM with users of all skills and levels

Qualifications We Need

• Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
• Strong communication and collaboration skills; ability to partner closely with Analytics and Infrastructure Engineering teams
• Experience deploying data governance frameworks with a scalable and repeatable process
• Ability to thrive in ambiguous environments and iterate quickly
• 3+ years of relevant experience working in a data engineering role
• Startup experience

Qualifications We Want (and skills you'll learn)

• A drive to continuously learn and share learnings about the evolving data ecosystem
• Familiarity with dbt
• Advanced Python knowledge
• Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
• Advanced knowledge of working with public clouds (e.g., AWS, GCP)

Additional Details

• Note: In-office work environment in all offices (SF, NYC, London, Sydney). All roles have a 25% travel expectation unless explicitly stated otherwise.