BI Platform Engineer: Embedded Analytics & Databricks Lead

The Judge Group; Chicago (IL); In loco; USD 110.000 - 150.000; Tempo pieno

Descrizione del lavoro

The Judge Group seeks a hands-on BI Platform Engineer to lead our Omni Analytics environment, focusing on data modeling, embedded dashboards, scalability, and Databricks integration. This is a 6-month contract to hire position in Chicago, IL with on-site work expected.

You will own Omni platform security, governance, and production support; design scalable semantic data models; build multi-tenant dashboards; and collaborate with Databricks teams to optimize SQL and analytics architecture for

Competenze

• Experience owning a modern BI platform.
• Building reusable data models for scalable embeddable analytics.
• Delivering scalable embedded analytics solutions in a SaaS environment.

Mansioni

• Own and administer the Omni platform, including security, governance, performance, and production support.
• Design and optimize scalable semantic data models and topics within Omni.
• Build and support embedded dashboards with multi-tenant security, SSO, and customer-facing analytics.
• Partner with Databricks teams to optimize SQL performance, data models, and analytics architecture.
• Develop monitoring, performance tuning, and scalability strategies to support growing user adoption.
• Establish best practices for data modeling, dashboard development, and BI platform operations.

Conoscenze

Omni Analytics

Looker

Embedded analytics

Advanced SQL

Databricks

Delta Lake

Unity Catalog

Medallion architecture

Performance tuning

Descrizione del lavoro

The Judge Group seeks a hands-on BI Platform Engineer to lead our Omni Analytics environment, focusing on data modeling, embedded dashboards, scalability, and Databricks integration. This is a 6-month contract to hire position in Chicago, IL with on-site work expected.

You will own Omni platform security, governance, and production support; design scalable semantic data models; build multi-tenant dashboards; and collaborate with Databricks teams to optimize SQL and analytics architecture for