Senior Analytics Engineer - Data Platform & AI Enablement

Watkins Wellness

Indianapolis, Northern (IN, KY)

Hybrid

USD 89,000 - 139,000

Full time

3 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Delta Faucet Company seeks a Senior Analytics Engineer to own the analytics-ready data layer and certified data products. You will design semantic models in Databricks and Power BI, ensuring trusted assets for analysts and AI agents.

This role emphasizes governance, quality, and reusable analytics components rather than ETL throughput. You will collaborate with analysts, data stewards, IT, and AI engineers to define input contracts, monitor data quality, and publish assets that accelerate

Qualifications

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 with fact grain and star schemas.
Cloud Lakehouse/warehouse experience; Databricks and Delta Lake strongly preferred.
Power BI semantic modeling with DAX, relationships, security, optimization.
Experience with governance, metadata, lineage, quality controls, Git, code review, deployment.

Responsibilities

Build and maintain certified facts, conformed dimensions, and curated views.
Own Power BI semantic models, measures, hierarchies, and security.
Translate business rules and KPI definitions into transparent, testable logic.
Implement Unity Catalog governance, metadata, lineage, certification, and deprecation.
Automate data quality, reconciliation, freshness, and anomaly monitoring.