Data Engineering Director: eCommerce & Consumer

full time · Director

Listed on Levi Strauss & Co.’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role leads a global data engineering team building enterprise-scale data platforms for eCommerce and consumer analytics at Levi Strauss & Co. It suits experienced engineering managers who want to architect clickstream and CDP infrastructure while guiding teams on AI/ML enablement and personalization at a major retailer.

Our summary, not Levi Strauss & Co.’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

10+ years data engineering experience
3–5 years leading teams in digital commerce or consumer analytics
Cloud-native data platform expertise (GCP, AWS, or Azure)
Big data frameworks (Spark, Kafka/pub-sub)
Clickstream pipeline and digital data infrastructure experience
Data warehousing (BigQuery or Snowflake)
ELT tools (dbt, Airflow, or Kubeflow)
Cross-functional leadership with marketing, product, and engineering stakeholders
Data governance and quality practices
Privacy and security compliance in data practices

Nice to have

Experience with customer data platforms (CDPs) and identity resolution
Familiarity with machine learning pipelines
Collaboration experience with data science teams
Tools like Segment, Adobe, or GA4