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61 Databricks Machine Learning Engineer Jobs Hiring Near You

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
What other companies are hiring for Machine Learning Engineer jobs?
Infographic showing various Machine Learning Engineer job openings at Databricks in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, and 17% Remote job distribution.
Manager, Field Engineering - Health Payer and Provider(Hunter)

Manager, Field Engineering - Health Payer and Provider(Hunter)

Databricks

Columbus, OH • On-site

Full-time

Posted 27 days ago


Job description

Job Summary:
Databricks is the data and AI company that provides a Data Intelligence Platform to organizations worldwide. The Solutions Architect Manager will lead a team of pre-sales Solutions Architects, guiding them in customer engagement, technical qualifications, and fostering relationships to drive success in the healthcare and life sciences sectors.
Responsibilities:
• Hire, train, and nurture a team of Solutions Architects to foster a culture of excellence and innovation.
• Empower your team to navigate technical complexities, identify key use cases, and build compelling proofs of concept.
• Foster a culture of continuous learning and development within the team.
• Drive the activation of new customers by guiding the Solutions Architect team in qualifying use cases, building customer trust, and navigating complex enterprise deals from discovery to close.
• Lead your team in establishing themselves as trusted advisors throughout the customer life-cycle.
• Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstrations, and implementation plans.
• Play a crucial role in achieving technical wins in complex sales cycles.
• Ensure customer success by helping them succeed with Databricks solutions and delivering outsized value to their businesses.
• Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success.
• Ability to operate in ambiguity and build foundational systems for repeatability.
• Bring structure, urgency, and vision to uncharted territory.
Qualifications:
Required:
• 5+ years in the data space with a technical product, such as data warehousing, big data, or machine learning.
• 2+ years of experience leading technical teams, preferably in a pre-sales organization, activating new customers, and exceeding annual quotas.
• Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions.
• Track record of hiring, training, and promoting qualified candidates for success within the organization.
• Ability to create positive morale within the team and foster effective working relationships with Field Engineering, Sales, and other internal partners.
Preferred:
• Experience in the Healthcare and Life Science sector.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.