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Databricks Manager – Data and Analytics

SpringCube

Full-time - Engineering Manager

IT Services & Consulting

United States, Los Angeles - California

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A global professional services organization is seeking a Databricks Manager to lead and support advanced AI and Data initiatives. The organization delivers end-to-end data, analytics, and cloud solutions across industries, enabling clients to modernize their data platforms, leverage AI, and transform business operations through innovative technology solutions.

Position Summary
The Databricks Manager will lead technical delivery and support for AI & Data platforms, collaborating with global teams to design, implement, and manage Databricks environments across cloud platforms. The role provides hands-on support while driving architecture decisions, solution reviews, and integration efforts, with a focus on quality, innovation, and client satisfaction.

Responsibilities

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across global delivery teams to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness
  • Collaborate with clients and stakeholders to communicate designs, status, issues, and decisions
  • Mentor team members and provide clear technical guidance

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google Cloud Platform, including integrations
  • Familiarity with Databricks MLOps and infrastructure setup
  • Strong coordination skills with delivery teams from a technical lead perspective
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively in a fast-paced environment
  • Professional demeanor with strong interpersonal skills
  • Limited immigration sponsorship may be available; ability to travel ~10%

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
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