Build privacy-first data platform for personalization and AI.
Lead platform optimization; deprecate legacy tooling.
Create AI-ready semantic layers to standardize business logic for Agentic AI and ML pipelines.
Mentor data team on dbt architecture and query performance.
Shape data strategy; influence cross-functional roadmaps with data-centric solutions.

🎯 Requirements

6+ years data engineering; platform dev; data modeling; compliance
Python and PySpark on Spark 3+; Delta Lake
Databricks preferred or Redshift/Snowflake
Architect high-volume ETL pipelines; data modeling; Medallion arch; metrics/docs
AI-ready architecture with semantic layers for Agentic AI and ML
BA/BS in CS/Engineering or equivalent; strong cross-functional collaboration

🎁 Benefits

Equity plus benefits package
Comprehensive healthcare + wellness stipend
Retirement savings match
Headspace membership + parental leave

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