BI Analytics Developer with (Databricks + Power BI + AI/BI)
PamTen
- United States
- United States
About
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 Apply 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) Apply best practices for
data modeling, DAX, and performance tuning Reuse Databricks-defined metrics wherever 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
Languages
- English
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