Full-Time Lead Analytics Engineer

By joining the Platform Data Spoke, you will be part of a new team with a clear vision: to leverage data, analytics, and AI to guide decisions, amplify value, and unlock new opportunities.

The Lead Analytics Engineer is the technical anchor of the Platform Data Spoke. You will shape and deliver high-quality data products.

What you'll do:

• Design, model, and document data products.
• Build and optimize pipelines to support both batch and streaming data products.
• Collaborate with other functions to integrate cross-company data into the platform.
• Ensure data products are discoverable, governed, and consumable by multiple stakeholders.
• Drive adoption of DataOps practices: testing, observability, version control.
• Act as a technical reference point for insight and dashboard data products.
• Mentor team members and establish engineering standards for data product development

What you'll bring:

• 7+ years of experience in data engineering, analytics engineering, or similar roles
• Strong SQL and data modeling skills; proven experience with cloud data warehouses.
• Hands-on with modern data product tooling such as dbt, Airflow, Databricks, or similar orchestration/transformation frameworks.
• GitOps practices: GitHub, declarative configs (YAML), CI/CD.
• Experience with data quality, monitoring, and product lifecycle management.
• Track record of collaboration across technical and business teams.
• Leadership ability: mentoring, setting standards, guiding design choices.
• Comfortable working in a global, distributed team setup.

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