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Mid-level, metro location, and a recognizable employer balanced by niche Databricks specialization.
Data engineering and Databricks skills transfer across industries but require specific platform experience.
Explicit 5+ years Databricks requirement plus mandatory tech stack and leadership increases strictness.
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Design, manage, and optimize the Databricks platform, ensuring seamless data integration and flow across multiple sources.
Lead, mentor, and manage a team of data engineers, fostering best practices, technical skills development, and team growth.
Collaborate with stakeholders including data engineers, analysts, and executive management to deliver technical solutions and report on project progress.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
At least 5 years of experience working with Databricks platform.
Proficiency in SQL and experience with relational databases (SQL Server, Oracle, or MySQL).
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experienced in leading and managing data engineering teams in environments using Databricks and cloud data platforms.
Strong technical background in data integration, ETL processes, and data warehousing.
Capable of independently driving strategic initiatives and collaborating across technical and executive levels.