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Azure Data Lead (Azure, ETL, ADF & Databricks)

Lorven Technologies, Inc.Dallas, TX🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to lead impactful data initiatives, leveraging your expertise in Azure, ETL, ADF, and Databricks to drive innovation. You'll thrive here if you're a seasoned data professional seeking significant career growth and the chance to shape data strategies within a dynamic organization. Don't miss out on this exciting chance to advance your career!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Hi ,

 

Our client is looking for an Data Lead (Azure, ETL, ADF & Databricks) for a project and below is the detailed requirement.

 

Job Title: Data Lead (Azure, ETL, ADF & Databricks)

Location: Dallas, TX

 

Job Description:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field with 13+ years of overall IT experience.
  • 7–10 years of experience in Data Engineering and ETL Development.
  • 5+ years of hands-on experience with Azure Data Services.
  • Design and support Azure-based data solutions leveraging: Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL Database, Azure Key Vault, Azure Functions
  • Strong experience developing enterprise ETL/ELT solutions.
  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).
  • Build and optimize data ingestion frameworks for structured, semi-structured, and unstructured data.
  • Develop reusable data transformation frameworks and data quality solutions.
  • Implement efficient batch and near-real-time data processing pipelines.
  • Develop data transformation and processing workflows using Azure Databricks.
  • Build scalable solutions utilizing PySpark, Spark SQL, and Delta Lake.
  • Optimize Spark jobs for performance, reliability, and cost efficiency.
  • Implement data cleansing, enrichment, aggregation, and validation processes.
  • Data Warehousing & Analytics: Design and maintain dimensional data models and enterprise data warehouses.
  • DevOps & Automation: Implement CI/CD pipelines using Azure DevOps. Data Governance & Security.

Skills

SQL
ETL
Azure
Databricks
Vault

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