Azure Databricks Lead with Power BI

HMG America
Indianapolis, IN, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Continuous Integration Data Governance Extract Transform Load (ETL) Executive Information Systems SQL Azure Performance Tuning Power BI Azure Data Lake SQL Databases Systems Integration Azure Data Factory
+8 more
Powerquery Microsoft Fabric Data Lakes Pyspark Information Technology Azure Synapse Analytics Data Pipelines Databricks

Job description

We are looking for an experienced Azure Databricks Lead with strong Power BI expertise to lead enterprise data engineering and analytics initiatives. The ideal candidate should have hands-on experience building scalable Azure data platforms, developing ETL pipelines, and delivering executive dashboards while mentoring technical teams. Common requirements for similar roles include Azure Databricks, PySpark, Azure Data Factory, ADLS, SQL, and advanced Power BI development.

Requirements

  • 15+ years of IT experience with 4+ years in Azure Databricks
  • Strong hands-on experience with Azure Databricks and PySpark
  • Expertise in Power BI, DAX, Power Query, and data modeling
  • Experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), and Azure SQL
  • Strong SQL development and performance tuning
  • Experience designing ETL/ELT pipelines and Lakehouse architectures
  • Knowledge of Delta Lake, Medallion Architecture, and data governance
  • Experience integrating Power BI with Databricks
  • Strong communication and stakeholder management skills
  • Prior experience leading offshore/onshore teams is preferred

Nice to Have

  • Azure Synapse Analytics
  • Microsoft Fabric
  • CI/CD using Azure DevOps
  • Azure or Databricks certifications

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:11 min

Evaluating application design patterns in microservices

Paweł Siwek Paweł Siwek · WWC 2025

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

Videos

See all

Related articles

See all