BI Analytics Developer with (Databricks + Power

BI + AI/BI

)

Summary:

We are looking for a BI Analytics Developer to build business-ready semantic models and dashboards using Databricks and Power BI . The role focuses on shaping Gold-layer analytics datasets , defining metrics and KPIs , and enabling insights through Power BI and Databricks AI/BI (Genie) . This is not a data engineering role , but strong Databricks SQL and Lakehouse knowledge is required.

Duties:

Databricks (Lakehouse / Gold Layer) Build analytics-ready datasets and semantic models using Databricks SQL Create business views, measures, dimensions, and KPIs Use Unity Catalog for discovery, lineage, metadata, and governance semantic metadata for AI/BI (Genie) consumption Power BI Develop optimized dashboards and datasets using Databricks SQL Warehouses Select the right connectivity mode (DirectQuery / DirectLake / Import) best practices for data modeling, DAX, and performance tuning Reuse Databricks-defined metrics wver possible Analytics & Business Logic Translate business needs into dimensional models (facts, dimensions, KPIs) Define and validate business rules and calculations Ensure data quality and metric consistency Collaboration Partner with data engineering to refine Silver/Gold layers Work with business stakeholders to finalize KPIs and reporting needs Coordinate with governance teams on metadata and data definitions

Required:

Strong SQL and experience building analytic views/models Hands-on Databricks SQL, Delta tables, Unity Catalog Solid understanding of dimensional modeling & semantic layers Power BI expertise (DAX, modeling, performance, Databricks integration) Ability to deliver curated, business-ready datasets for

BI and AI/BI Desired:

Python for analysis in notebooks Experience with Databricks AI/BI (Genie) or semantic metrics Knowledge of data governance, metadata, lineage, data quality Healthcare or financial domain KPI exposure Strong communication and stakeholder management skills

Qualifications:

AWS

+ Databricks

+ Power BI Service experience BI data modeling best practices Familiarity with data governance and cataloging tools

Deliverables:

Power BI semantic models & dashboards Databricks Gold-layer data products KPI and metrics documentation Metadata tagging and governance inputs