Related skills
redshift looker aws databricks dbt📋 Description
- Architect scalable data models and ELT pipelines for the data lake using Airflow, DBT, Databricks.
- Design and launch self-serve analytics products from data to discovery and enablement.
- Be a technical leader for the team and shape major initiatives.
- Lead data initiatives to raise data literacy and reduce pain points.
- Partner with data scientists, stakeholders, and product engineers to govern data and KPIs.
- Develop tools and frameworks with AI-driven capabilities for data access.
🎯 Requirements
- 10+ years in data analytics engineering with data architecture, pipelines, and reporting.
- Expert in relational DBs, DRY data modeling, and efficient SQL.
- Experience with AWS, Databricks, Delta Lake, Airflow, dbt, Redshift; DataHub helpful.
- Experience crafting self-service reporting with BI tools; Looker or Sigma preferred.
- Experience with Data Observability frameworks (Monte Carlo, Great Expectations) at enterprise scale.
- Hands-on experience with AI tools (Claude, Gemini, Cursor) for data processing and democratization.
🎁 Benefits
- Global, distributed team with remote onboarding.
- Competitive, zone-based pay plus health and wellness benefits.
- Bonus and RSU equity programs.
- Global perks to help you grow and thrive.
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