Information Technology - Lead Analytics Engineer, Distribution Technology

Opportunity

Role responsibilities

• Develop complex SQL transformations to create widely used data models.
• Embed and enrich business logic to unify analysis across cross-functional teams.
• Design and recommend data model structure and flow.
• Review and approve model changes; own specific data sub-domains technically.
• Build in Google Cloud Platform and Dataform.
• Contribute to and apply analytics engineering best practices and standards.

Qualifications

• Advanced SQL expertise and ability to create efficient, tuned data models.
• Proficiency with modern transformation frameworks such as dbt and/or Dataform.
• Ability to build scalable data models from business requirements.
• Knowledge of modern data architecture and modeling methods, including medallion, Kimball, Inmon, star schemas, and OBT design.
• Expertise in incremental modeling, partitioning, clustering, and data quality testing.
• Cloud workload optimization experience on platforms such as GCP, AWS, or Azure.
• Experience with version control, testing, and deployment workflows for data platforms.
• Experience in technical mentorship, code reviews, and elevating engineering practices.
• Ability to collaborate strategically with cross-functional partners.

Compensation

• Roles at this level are listed at $100,000–$300,000 per year.
• Total compensation may include base pay, bonus, and/or equity depending on the role.

Perks

• Benefits include a product discount, paid baby leave, an in-house cafe, office fitness facilities, virtual wellness resources, and workplace amenities.