Databricks Careers 2026–2027 | Global AI, Data & Software Engineering Jobs, Internships and Graduate Opportunities
Databricks is hiring talented professionals, university students, and recent graduates for hundreds of career opportunities worldwide. As one of the world’s leading Data and Artificial Intelligence (AI) companies, Databricks offers careers across software engineering, machine learning, data science, cloud computing, cybersecurity, product management, customer success, sales, consulting, marketing, finance, and business operations.
The company is experiencing rapid global growth and regularly recruits professionals across North America, Europe, Asia-Pacific, Latin America, and other regions. Whether you’re an experienced engineer, a data specialist, or a student seeking your first role in AI and cloud technologies, Databricks provides opportunities to work on cutting-edge products that help organizations build data-driven and AI-powered solutions.
About Databricks
Databricks is a global software company best known for its Data Intelligence Platform, which helps organizations unify data, analytics, and artificial intelligence. Built by the original creators of Apache Spark, the company enables businesses to develop advanced analytics, machine learning models, and generative AI applications at scale.
Thousands of organizations—including enterprises, governments, and research institutions—use Databricks to transform raw data into actionable insights. The company continues to expand rapidly, making it one of the most sought-after employers in the technology and AI sectors.
Career Opportunities
Databricks recruits professionals across numerous technical and business functions.
Engineering
Engineering teams develop the technologies that power the company’s AI and data platform.
Career opportunities include:
- Software Engineer
- Backend Engineer
- Frontend Engineer
- Full Stack Engineer
- Infrastructure Engineer
- Platform Engineer
- Site Reliability Engineer (SRE)
- Security Engineer
- Machine Learning Engineer
- AI Engineer
- Data Engineer
- Engineering Manager
Engineers collaborate on distributed systems, cloud infrastructure, data processing, machine learning, and developer tools.
Product & Design
Product teams help shape the future of the Databricks platform.
Roles may include:
- Product Manager
- Product Operations Manager
- UX Designer
- UX Researcher
- Technical Program Manager
- Product Marketing Manager
These professionals work closely with engineering teams to build products that solve complex customer challenges.
Customer Success & Professional Services
Customer-facing teams help organizations successfully implement Databricks solutions.
Typical positions include:
- Solutions Architect
- Technical Solutions Engineer
- Resident Solutions Architect
- Customer Success Engineer
- Professional Services Consultant
- Technical Instructor
- Customer Enablement Manager
These roles combine technical expertise with customer engagement and strategic consulting.
Sales & Business Development
Databricks also recruits professionals in:
- Enterprise Sales
- Account Executive
- Business Development Representative
- Partner Manager
- Solutions Engineer
- Customer Success Manager
- Renewals Specialist
These teams help organizations adopt AI and data solutions while building long-term customer relationships.
Corporate Careers
Corporate functions support Databricks’ continued global growth.
Career areas include:
- Finance
- Human Resources
- Marketing
- Communications
- Legal
- Procurement
- Talent Acquisition
- Business Operations
- Workplace Experience
Internship Opportunities
Databricks offers internship programmes that give students practical experience working on real products and technologies.
Internships are commonly available in:
- Software Engineering
- Data Engineering
- Machine Learning
- Product Management
- Technical Program Management
- Product Operations
- Strategy & Execution
- Finance
- Marketing
Interns work alongside experienced professionals, receive mentorship, and contribute to meaningful projects with real business impact. Recent internship openings have included MBA and technical internship opportunities.
Graduate & Early Career Opportunities
Recent graduates can launch their careers through entry-level technical and business roles.
Early-career hires benefit from:
- Structured onboarding.
- Technical mentorship.
- Hands-on learning.
- Cross-functional collaboration.
- Exposure to AI, cloud computing, and large-scale data systems.
- Career development opportunities within a rapidly growing technology company.
Company Culture
Databricks describes its culture as being built around innovation, collaboration, and continuous learning. The company emphasizes inclusion, professional development, and employee well-being while encouraging employees—known internally as Bricksters—to solve complex technical challenges and help customers succeed.
Employees also have access to comprehensive benefits, learning opportunities, employee resource groups, wellness initiatives, and flexible ways of working, although benefits may vary by location.
Who Can Apply?
Databricks recruits candidates at different stages of their careers, including:
- University students.
- Recent graduates.
- Early-career professionals.
- Experienced software engineers.
- AI and machine learning specialists.
- Data engineers.
- Cloud professionals.
- Product managers.
- Sales and customer success professionals.
- Corporate professionals.
Eligibility requirements vary depending on the specific role and location.
Why Work at Databricks?
Working at Databricks provides the opportunity to:
- Help build technologies shaping the future of artificial intelligence.
- Work with some of the world’s leading data and AI experts.
- Solve large-scale engineering and business challenges.
- Collaborate with global customers across multiple industries.
- Develop technical and leadership skills.
- Grow within one of the fastest-growing AI and cloud technology companies.
Recruitment Process
The hiring process differs by role but generally includes:
- Online application.
- Recruiter screening.
- Hiring manager interview.
- Technical interview or assessment (for technical positions).
- Panel interviews.
- Final interview or presentation (for some customer-facing roles).
- Employment offer.
Technical positions may require coding assessments, architecture discussions, or problem-solving exercises, while customer-facing roles may include presentations or solution demonstrations.
How to Apply
- Visit the official Databricks Careers website.
- Search vacancies by location, department, or keyword.
- Review the qualifications and responsibilities.
- Prepare your résumé and supporting documents.
- Submit your online application through the Databricks recruitment portal.
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Disclaimer
Vacancy Bridge shares verified career opportunities for informational purposes only. Vacancy Bridge is not affiliated with Databricks. Job openings, internship opportunities, eligibility requirements, and recruitment timelines may change throughout the year. Applicants should always consult the official Databricks Careers website for the latest information.
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