Lead Databricks Engineer
Role: Data EngineerCompany: VirtualVocations
Job description
A company is looking for a Lead Databricks Engineer to drive the design, development, and optimization of data pipelines and analytics solutions on the Databricks Lakehouse platform. Key Responsibilities Lead end-to-end development of data pipelines, ETL/ELT processes, and batch/streaming solutions using Databricks and Apache Spark Design and implement Lakehouse architectures that align with business and technical requirements Collaborate with data scientists, analysts, and engineers to deliver high-performance data products and ML features Required Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field 5+ years of experience in Data Engineering or Big Data roles 2+ years of hands-on experience with Databricks, Spark (PySpark or Scala), and Delta Lake Strong knowledge of cloud platforms (AWS, Azure, or GCP) and modern data architectures Experience leading a team or a project, acting as a team/tech lead of a project
Requirements
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field
• 5+ years of experience in Data Engineering or Big Data roles
• 2+ years of hands-on experience with Databricks, Spark (PySpark or Scala), and Delta Lake
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and modern data architectures
• Experience leading a team or a project, acting as a team/tech lead of a project
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Job Type
Fulltime role
Skills required
Azure
Location
San Diego, California
Salary
No salary information was found.
Date Posted
May 26, 2025
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VirtualVocations
VirtualVocations is seeking a Lead Databricks Engineer in San Diego, California, to design and optimize data pipelines on the Databricks Lakehouse platform. The role involves collaboration with data teams and leading projects in data engineering.
