Levi Strauss

3 weeks ago

Data Engineering Director: eCommerce & Consumer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead and grow a global data engineering team for eCommerce and consumer analytics, driving the vision and delivery of best-in-breed data solutions. Build robust clickstream pipelines and real-time/batch architectures that power digital customer journey optimization, hyper-personalization, retention and loyalty, and AI/ML use cases. Partner across analytics, data science, ecommerce engineering, and product to deliver reusable data products, maintain governance/quality/lineage/observability, and integrate third-party enrichment for a 360° consumer view.

Location: Mexico City

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Director level

Key Responsibilities

•Lead and grow a global data engineering team focused on eCommerce and consumer analytics.
•Architect and oversee clickstream data ingestion, transformation, and enrichment from web, mobile, and digital touchpoints.
•Partner with analytics, data science, ecommerce engineering, and product teams to define reusable data products and drive key KPIs.
•Drive real-time event-driven and batch processing roadmaps to enable rapid experimentation and decision-making.
•Ensure data governance, quality, lineage, observability, and integrate third-party enrichment/identity resolution to build a 360° consumer view.

Key Requirements

•10+ years of experience in data engineering, including 3–5 years leading high-performing teams in digital commerce or consumer analytics environments.
•Deep technical expertise in cloud-native data platforms (GCP, AWS, Azure) and big data frameworks (Spark, Kafka/pub-sub).
•Experience building and scaling clickstream pipelines and digital data infrastructure, including tools like Segment and Adobe/GA4.
•Strong command of data warehousing and ELT tools (BigQuery, Snowflake; dbt, Airflow/Kubeflow).
•Experience with customer data platforms (CDPs), identity resolution, privacy-aware data modeling, and translating business goals into actionable data solutions.

Experience:10+ yearsData engineeringDigital commerceConsumer analyticsECommerceCustomer data platformsIdentity resolutionAI/ML

Skills:LeadershipCross-functional collaborationInnovationQuality-focusedCommunication

Tech Stack:GCPAWSAzureSparkKafkaPub-SubSegmentAdobeGA4Customer Data Platforms (CDPs)BigQuerySnowflakeDbtAirflowKubeflowCI/CDObservabilityClickstreamELTIdentity Resolution

Company Brief

Levi Strauss

Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 5M to 10M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1853

Website LinkedIn

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Levi Strauss

3 weeks ago

Data Engineering Director: eCommerce & Consumer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Mexico City

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Director level

Key Responsibilities

•Lead and grow a global data engineering team focused on eCommerce and consumer analytics.
•Architect and oversee clickstream data ingestion, transformation, and enrichment from web, mobile, and digital touchpoints.
•Partner with analytics, data science, ecommerce engineering, and product teams to define reusable data products and drive key KPIs.
•Drive real-time event-driven and batch processing roadmaps to enable rapid experimentation and decision-making.
•Ensure data governance, quality, lineage, observability, and integrate third-party enrichment/identity resolution to build a 360° consumer view.

Key Requirements

•10+ years of experience in data engineering, including 3–5 years leading high-performing teams in digital commerce or consumer analytics environments.
•Deep technical expertise in cloud-native data platforms (GCP, AWS, Azure) and big data frameworks (Spark, Kafka/pub-sub).
•Experience building and scaling clickstream pipelines and digital data infrastructure, including tools like Segment and Adobe/GA4.
•Strong command of data warehousing and ELT tools (BigQuery, Snowflake; dbt, Airflow/Kubeflow).
•Experience with customer data platforms (CDPs), identity resolution, privacy-aware data modeling, and translating business goals into actionable data solutions.

Experience:10+ yearsData engineeringDigital commerceConsumer analyticsECommerceCustomer data platformsIdentity resolutionAI/ML

Skills:LeadershipCross-functional collaborationInnovationQuality-focusedCommunication

Tech Stack:GCPAWSAzureSparkKafkaPub-SubSegmentAdobeGA4Customer Data Platforms (CDPs)BigQuerySnowflakeDbtAirflowKubeflowCI/CDObservabilityClickstreamELTIdentity Resolution

Company Brief

Levi Strauss

Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 5M to 10M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1853

Website LinkedIn