Databricks Architect

Data Piper

$150K — $180K *
US-AnywhereRemote in Pleasanton, CA
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data engineering, data platforms, and analytics
  • 10+ years of consulting experience
  • Completed Data Engineering Professional certification and required classes
  • Hands-on development experience with Databricks
  • Proficiency in multiple cloud ecosystems (AWS, Azure, GCP) and deep expertise in one
  • Extensive experience with distributed computing and Spark internals
  • Familiarity with CI/CD processes and MLOps

Responsibilities

  • Design and implement data solutions for client needs
  • Collaborate with teams to enhance product offerings
  • Guide clients in leveraging Databricks effectively
  • Utilize deep AWS, Azure, or GCP knowledge for optimal cloud solutions
  • Oversee production deployments using CI/CD practices
  • Develop and maintain scalable data pipelines
  • Support MLOps initiatives for clients

Benefits

  • Remote work flexibility
  • Opportunity to work with cutting-edge technology
  • Collaborative and dynamic team environment
  • Professional development and growth opportunities
  • Exposure to diverse projects across various industries
Full Job Description
Job Description

Title: Resident Solutions Architect

Job Type: Fulltime

Location: Remote
• 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience
• Completed Data Engineering Professional certification & required classes
• Hands-on experience in development on databricks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one
• Deep experience with distributed computing with Spark with knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Current knowledge across the breadth of Databricks product and platform features

Qualifications

Databricks, Unity Catalog, DLT Familiarity with Machine Learning

Additional Information

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