AI-Driven Data Platform Engineer | Power BI & Databricks

Delta Faucet; Indianapolis (IN); On-site; USD 89,000 - 139,000; Full time

Benefits offered by this job

Culture of inclusion

Wellbeing programs

Learning & development

Volunteer opportunities

Job summary

Delta Faucet Company in Indianapolis, IN is seeking a Senior Analytics Engineer to bridge enterprise data and business insight. You will design and maintain certified data products, semantic models, and governance in Databricks, Unity Catalog, and Power BI.

This role replaces a traditional Data Engineer position, focusing on analytics readiness, trust, and scalable data products for analysts, dashboards, and AI agents. Collaboration with stakeholders ensures governed, actionable data.

Qualifications

• 5+ years in analytics engineering or data platform roles.
• Strong SQL and dimensional modeling experience.
• Experience with cloud Lakehouse/warehouses (Databricks preferred).

Responsibilities

• Build and maintain certified facts, conformed dimensions, and Gold-layer data products.
• Own Power BI semantic models, measures, hierarchies, security, and performance.
• Translate business rules and KPI definitions into tested, version-controlled data logic.
• Implement Unity Catalog governance, metadata, access controls, lineage, and deprecation.
• Automate data quality, freshness, reconciliation, and anomaly monitoring.
• Publish reusable assets to support self-service analytics and governed AI.

Skills

Advanced SQL

Dimensional modeling

Power BI

Databricks

Delta Lake

Git

Documentation

Education

Bachelor's degree in a quantitative or technology field

Tools

Databricks

Power BI

dbt

Lakeflow/DLT

Job description

Delta Faucet Company in Indianapolis, IN is seeking a Senior Analytics Engineer to bridge enterprise data and business insight. You will design and maintain certified data products, semantic models, and governance in Databricks, Unity Catalog, and Power BI.

This role replaces a traditional Data Engineer position, focusing on analytics readiness, trust, and scalable data products for analysts, dashboards, and AI agents. Collaboration with stakeholders ensures governed, actionable data.