Related skills
bigquery snowflake sql python databricks📋 Description
- Lead and scale the analytics engineering team (player/coach).
- Own data architecture, modeling, and centralized data warehouse layers.
- Build robust, scalable data foundations for analysts and data scientists.
- Partner with Data Science and Analytics to translate needs into data models.
- Ensure code quality, CI/CD, data testing, and observability.
- Coach and mentor a small analytics engineering team.
🎯 Requirements
- 5+ years in analytics engineering/data engineering or technical analytics.
- 1-2+ years of direct engineering leadership (Tech Lead/Team Lead).
- Expert SQL: write, optimize, and debug complex queries.
- Data modeling: warehousing concepts and ETL/ELT (Kimball/Data Vault).
- Modern data stack: Snowflake, BigQuery, Databricks; dbt.
- Python for data scripts and orchestration; Git workflows and CI/CD.
🎁 Benefits
- Medical, dental, vision insurance.
- Disability, life insurance, AD&D.
- 401k matching; visa sponsorship available.
- Paid time off, sick leave, parental leave.
- Catered lunches, happy hours, pet-friendly spaces, tech stipend.
- Professional development stipend and tuition reimbursement.
🛃 Visa sponsorship
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