Lead Data Engineer
Core
Architect, build, and evolve the foundational data platform powering analytics, real-time decisioning, and operational intelligence for a mindful movement studio.
Role type
Lead Data Engineer
Builds
Production-grade data systems (event ingestion, transformation, modeling, serving, governance) enabling marketing automation, inventory intelligence, and order fulfillment visibility.
Domain
Retail / E-commerce / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
AWS, event-driven architectures, Medallion architecture, dbt, SQL, Python, CI/CD, infrastructure-as-code, Tableau, ThoughtSpot
Preferred skills
Retail/e-commerce experience
Technologies
AWS, Kinesis, Kafka, Redshift, BigQuery, Snowflake, dbt, Tableau, ThoughtSpot
Responsibilities
Architect and own the end-to-end data platform; Design and scale event-driven architectures; Build and evolve Medallion architecture; Develop ELT pipelines; Enable real-time marketing use cases; Design systems for inventory intelligence; Build pipelines for order lifecycle; Establish standards for data modeling, testing, CI/CD, and observability; Enable analytics via Tableau and ThoughtSpot; Partner with cross-functional teams; Act as technical leader and mentor.
Seniority
Senior, hands-on IC with leadership responsibilities
