Navan is looking for a Senior Data Engineer to join our growing team. Based out of HQ in Palo Alto, CA you will be working within our world-class data organization to help modernize and scale our data warehouse to power our data-driven organization and support our rapidly evolving and growing data needs. You will work within a modern data stack of AWS, Fivetran, Airflow, DBT, Snowflake, Atlan, and Monte Carlo to build and maintain a first-class data warehouse. You are someone who can operate at a company that grows as fast as ours by being able to deal with multiple moving pieces while still holding up quality, long-term thinking, and delivering value to our customers.
What You'll Do:
- Working closely with our data analyst, product, and engineering teams, you'll design and develop our data warehouse models to create rich, usable data stores
- Identify and implement tests and monitoring to ensure data quality and reliability
- Create the definitions and metrics for a "single source of truth" to fuel all company decision-making
- Define best practices in data models and development
- Continuously find ways to improve data self service as a product and lower the amount of effort our end users spend in getting answers
What We're Looking For:
- 8+ years of work experience in data engineering/data warehousing/analytics engineering
- 5+ years of experience building and maintaining high-scale ELT with cloud data warehouses ideally with Snowflake.
- Experience in dbt core and AWS is an absolute must!
- Expert in managing Airflow for data orchestration, and skilled in CI/CD for seamless development automation
- Proficient in SQL and Python
- Demonstrated experience in data modeling (any methodology) and implementation
