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
Phoenix, Arizona
Salary
No salary information was found.
Date Posted
May 24, 2025
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VirtualVocations
VirtualVocations is seeking a Lead Databricks Engineer in Phoenix, Arizona, to design and optimize data pipelines on the Databricks Lakehouse platform. The role involves leading a team and collaborating with data professionals to deliver high-performance data solutions.
