Data Engineering Manager


Role Overview

In this role, you will set the vision and strategy for operating efficient, flexible, and scalable data warehouse and data lake solutions. A passion for data is a must. Additionally, the ability to collaborate with others, regardless of title, to drive cross-team technical and process improvements is a requirement.


  • Manage a team of data engineers
  • Own our data warehouse and data lake solutions
  • Oversee our ELT and ETL strategies and continue following industry best practices
  • Collaborate with data analysts and other stakeholders to understand requirements
  • Create relational and multi-dimensional database schemas and data models
  • Ensure solutions are built for scale and designed for enterprise-wide use cases
  • Promote data quality and data engineering best practices


  • 5+ years of experience with Python
  • 4+ years of experience with data lakes, data warehouses, and analytics
  • 2+ years of experience with Airflow
  • Meaningful experience writing SQL statements
  • Experience with DBT or a similar technology
  • Experience with AWS or GCP ecosystem
  • Experience building scalable architecture designs and best practices.
  • Strong data modeling and design skills
  • Experience with relational and multi-dimensional database schemas
  • Ability to work with cross-functional teams
  • Strong analytical and problem resolution skills
  • Strong verbal and written communication skills
  • Ability to meet deadlines in a fast-paced environment
  • Familiarity with BigQuery, S3, Kafka, Cassandra, and AWS Glue

Our Core Values:

  • Customer Love — When the customer wins, we win
  • One Tribe — United and strong, on a single mission together
  • Speak the Truth — Feedback is a gift – we all improve faster this way
  • Make it Simpler — Apply it to everything we do
  • Hungerness — Feel it, follow it – be relentless about our success

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