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Infographic showing various Net Technical Lead Azure job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $98,000 per year, or $47.1 per hour.

Technology Lead | Azure Data Engineering

Smyrna, GA • On-site

2T Consulting
IT Services • 51 - 200 employees
Learn more about 2T Consultingexternal

Full-time

Posted 2 days ago

New

Job description

We are seeking an experienced Technology Lead / Azure Data Engineer with strong hands-on expertise in Azure Synapse Analytics and PySpark. The ideal candidate will have a deep understanding of Apache Spark, distributed data processing, Data Lake architecture, and modern data engineering practices.

Must-Have Skills
  • Azure Synapse Analytics
  • PySpark
  • Apache Spark architecture
  • Spark SQL
  • Data Lake architecture
  • Medallion Architecture
  • Data transformation and processing
  • Strong troubleshooting and problem-solving skills
Nice-to-Have
  • Microsoft Fabric
  • Experience with modern cloud data platforms
Responsibilities
  • Design, develop, and optimize data solutions using Azure Synapse Analytics.
  • Develop scalable data pipelines and transformations using PySpark and Spark SQL.
  • Apply Apache Spark architecture and distributed processing concepts to large-scale data workloads.
  • Design and implement Data Lake and Medallion Architecture solutions.
  • Troubleshoot performance, data quality, and pipeline-related issues.
  • Collaborate with cross-functional teams to understand requirements and deliver scalable solutions.
  • Evaluate and leverage Microsoft Fabric capabilities where appropriate.
  • Provide technical leadership and contribute to solution architecture and development standards.
Required Qualifications
  • 8+ years of experience in data engineering, cloud platforms, or related technology roles.
  • Strong hands-on experience with Azure Synapse Analytics.
  • Strong programming experience with PySpark and Spark SQL.
  • Deep understanding of Apache Spark and distributed data processing.
  • Experience designing and implementing Data Lake architectures.
  • Excellent communication and collaboration skills.
  • Strong analytical, troubleshooting, and problem-solving abilities.

Apply