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 SQLCreate business views, measures, dimensions, and KPIsUse Unity Catalog for discovery, lineage, metadata, and governanceApply semantic metadata for AI/BI (Genie) consumptionPower BIDevelop optimized dashboards and datasets using Databricks SQL WarehousesSelect the right connectivity mode (DirectQuery / DirectLake / Import)Apply best practices for data modeling, DAX, and performance tuningReuse Databricks-defined metrics wherever possibleAnalytics & Business LogicTranslate business needs into dimensional models (facts, dimensions, KPIs)Define and validate business rules and calculationsEnsure data quality and metric consistencyCollaborationPartner with data engineering to refine Silver/Gold layersWork with business stakeholders to finalize KPIs and reporting needsCoordinate with governance teams on metadata and data definitionsRequired:Strong SQL and experience building analytic views/modelsHands-on Databricks SQL, Delta tables, Unity CatalogSolid understanding of dimensional modeling & semantic layersPower BI expertise (DAX, modeling, performance, Databricks integration)Ability to deliver curated, business-ready datasets for BI and AI/BIDesired:Python for analysis in notebooksExperience with Databricks AI/BI (Genie) or semantic metricsKnowledge of data governance, metadata, lineage, data qualityHealthcare or financial domain KPI exposureStrong communication and stakeholder management skillsQualifications:AWS + Databricks + Power BI Service experienceBI data modeling best practicesFamiliarity with data governance and cataloging toolsDeliverables:Power BI semantic models & dashboardsDatabricks Gold-layer data productsKPI and metrics documentationMetadata tagging and governance inputs