Job Title: Lead Azure Databricks Engineer (Day1 Onsite)

Location: Branchville, NJ or Charlotte, NC (any of two locations can be given) onsite

Years of Experience: 12 Years

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Job Summary:

We are seeking a highly skilled and motivated Technical Team Lead with extensive experience in Azure Databricks to join our dynamic team. The ideal candidate will possess a strong technical background, exceptional leadership abilities, and a passion for driving innovative solutions. As a Technical Team Lead, you will be responsible for guiding a team of developers and engineers in the design, development, and implementation of data driven solutions that leverage Azure Databricks. 

Responsibilities:

• Lead and mentor a team of technical professionals, fostering a collaborative and high performance culture.
• Design and implement data processing solutions using Azure Databricks, ensuring scalability and efficiency.
• Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
• Oversee the development lifecycle, from planning and design to deployment and maintenance.
• Conduct code reviews and provide constructive feedback to team members to ensure code quality and adherence to best practices.
• Stay up to date with industry trends and emerging technologies related to Azure Databricks and data engineering.
• Facilitate communication between technical and non technical stakeholders to ensure alignment on project goals.
• Identify and mitigate risks associated with project delivery and team performance. 

Mandatory Skills:

• Proven expertise in Azure Databricks, including experience with Spark, data pipelines, and data lakes.
• Strong programming skills in languages such as Python, Scala, or SQL.
• Experience with cloud based data storage solutions, particularly Azure Data Lake Storage and Azure SQL Database.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Demonstrated ability to lead technical teams and manage multiple projects simultaneously.