Job Description
Job Listing ID:
4498797 Job Title:
Databricks Manager Application Deadline:
Open Until Filled Job Location:
Portland
Date Posted:
05/26/2026 Hours Worked Per Week:
Not Provided Shift:
Not Provided Duration of Job:
Either Full or Part Time, more than 6 months You may contact this employer directly.
(Obtain the contact information to print or add to your jobs.) Job Summary:
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Manager on the AI & Data team, you will be responsible for... 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 the global delivery team to support quality delivery and issue resolution Support data science and model teams with platform needs, environment enablement, and deployment readiness A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to mentor and provide clear guidance to others The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required:
Bachelor's degree preferably 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 Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations Experience with Databricks MLOps or infrastructure setup Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders Limited immigration sponsorship may be available. Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Preferred... Job Classification:
Computer Occupations, All Other Access our statewide or regional occupation report for more information about wages,
employment outlooks, skills, training programs, related occupations, and more. Compensation
Salary:
Not Provided Job Requirements
Experience Required:
See Job Summary
Education Required:
None Minimum Age:
N/A Gender:
N/A
