Lead Azure Data Engineer

Lead Azure Data Engineer with Databricks
Location – Hybrid (2 Days onsite at nearby Deloitte office) ----------- Georgia - Atlanta, Texas – Austin, Dallas, Houston; Arizona – Gilbert, Phoenix; Florida – Lake Mary, Orlando, Tampa; North Carolina – Charlotte; Massachusetts – Boston.
Client: ED Jones Through Deloitte
VISA: USC/GC Only
C2C/1099/W2
Must be 14+ Years

·    Proven hands-on experience with Azure Databricks, including designing, building, and optimizing complex data pipelines and Delta Lake solutions.
·    Strong background in Azure Data Lake Storage (ADLS)—architecture, best practices, and efficient handling of high-volume and diverse data sets.
·    Previous experience designing and developing data models and integration layers that seamlessly pull and harmonize data from multiple ODS and other source systems.
·    Demonstrated ability to deliver scalable, performant solutions for both batch and streaming workloads on Azure.
·    Track record of driving process efficiency—targeting substantial improvements in workflow automation within the cloud ecosystem.
·    Familiarity with Azure suite: ADLS, Azure Data Factory, Azure Synapse Analytics, etc.
·    Commitment to data governance, quality management, and cost optimization in cloud environments.
·    Advanced coding skills in Python, SQL, and PySpark (Databricks context).
·    Nice to have: Experience developing CI/CD pipelines and leveraging Databricks Asset Bundles for deployment and versioning.
·    Ability to prepare well-documented, reusable solutions and foster knowledge transfer within the team.
·    Experience with additional cloud platforms (AWS, GCP) is a plus, though Azure expertise is paramount.
·    Overall knowledge of MLOps and DataOps (such as but not including deployment, monitoring and maintenance)