We’re partnering with a client on a Senior Analytics Engineer role supporting a large-scale enterprise data modernization initiative.
This role sits at the intersection of data engineering and analytics, focused on building analytics-ready data models in a modern Databricks lakehouse to support enterprise reporting, forecasting, and operational insights.
What You’ll Do:
Build and optimize Silver/Gold data models in Databricks using SQL, Spark, and Delta Lake
Translate business and analytical requirements into scalable, governed data transformations
Develop enterprise data models across CRM and operational systems (Salesforce experience strongly preferred)
Partner with data engineering and BI teams to support semantic layers, KPIs, and downstream reporting
Drive data quality, performance optimization, and documentation standards
What We’re Looking For:
5+ years of analytics engineering or data modeling experience in Databricks (Azure or AWS)
Strong SQL and PySpark skills with modern lakehouse and dimensional modeling experience
Ability to bridge business context with technical execution in an enterprise environment