Senior Analytics Engineer (Data Platform & AI Enablement)

Role Overview

The Senior Analytics Engineer owns the layer between curated enterprise data and business consumption, working primarily in Databricks, Unity Catalog, and Power BI.

What You Will Do

Build and maintain certified facts, conformed dimensions, curated views, and Gold-layer data products, and automate data quality, reconciliation, freshness, and anomaly monitoring.

Why It Might Be a Fit

The role requires experience with curated analytics layers or semantic models, advanced SQL, and strong dimensional modeling skills, and the ability to translate business questions and metric definitions into scalable data products.

Requirements

• Bachelor’s degree in a quantitative or technology field, or equivalent practical experience
• 5+ years in analytics engineering, data engineering, BI engineering, or data platform roles
• Advanced SQL and strong dimensional modeling skills
• Production experience with a cloud Lakehouse or warehouse; Databricks and Delta Lake strongly preferred
• Power BI semantic modeling experience, including DAX, relationships, security, and optimization
• Experience with data governance, metadata, lineage, quality controls, Git, code review, and deployment discipline

Benefits

• Comprehensive benefit plans
• Retirement, savings, tuition reimbursement, and employee incentive programs
• Resources for mental, physical, and financial wellbeing
• LinkedIn Learning access
• Internal opportunities to work on projects cross-company
• Four employee-led and self-directed Business Resource Groups
• Paid volunteer day annually
• Employees share their time, skills and talent with charities and nonprofit organizations