Databricks is creating opportunities for professionals passionate about data engineering, artificial intelligence, machine learning, analytics, and cloud technologies through its expanding global careers programme.
The company provides career pathways across engineering, customer success, field engineering, business development, research, and early career programmes.
Databricks is known for building data and AI solutions that help organisations transform how they manage, analyse, and use large-scale data.
About Databricks
Databricks is a technology company focused on data intelligence, artificial intelligence, machine learning, and cloud-based analytics platforms.
The company brings together data engineering, data science, and AI development to help organisations build modern data applications.
Career areas at Databricks include:
- Engineering
- Research
- Customer Success
- Field Engineering
- Business Development
- Internships and Early Careers
Career Opportunities for Data Professionals
Data Engineering and Software Development Roles
Databricks offers opportunities for engineers working on modern data infrastructure, distributed systems, cloud platforms, and AI-powered technologies.
Engineering opportunities include areas such as:
- Data infrastructure
- Machine learning systems
- AI platforms
- Backend engineering
- Database technologies
- Distributed data systems
Professionals with experience in:
- Python
- Scala
- Java
- SQL
- Cloud platforms
- Big data technologies
- Machine learning systems
can explore opportunities within Databricks engineering teams.
Data Science and Machine Learning Careers
Databricks provides opportunities for data scientists and AI specialists working on advanced technologies.
Available positions include roles such as:
- Principal Data Scientist
- Senior Data Scientist
- Staff Data Scientist
- Machine Learning Engineering positions
These roles focus on developing intelligent systems, improving data platforms, and enabling organisations to gain insights from complex datasets.
AI and Big Data Technology Roles
As artificial intelligence continues to transform industries, Databricks is hiring professionals working in:
- Generative AI
- Machine learning infrastructure
- AI applications
- Data platforms
- Analytics solutions
Engineering positions include AI-focused roles such as AI platform engineering, GenAI inference engineering, and machine learning engineering.
Early Career and Internship Opportunities
Databricks supports students and recent graduates through its Internships and Early Careers programme.
Early-career candidates can explore opportunities related to:
- Software engineering
- Data engineering
- Machine learning
- Research
- Technical solutions
- Business technology
These programmes are designed for individuals beginning their careers in data and technology.
Customer Success and Data Solutions Careers
Databricks also hires professionals who help organisations successfully implement data and AI solutions.
Available areas include:
- Technical solutions engineering
- Customer enablement
- AI programmes
- Data and AI support
These roles are suitable for professionals who enjoy combining technical knowledge with customer problem-solving.
Global Career Locations
Databricks has opportunities across multiple regions, including:
- United States
- Canada
- India
- Europe
- Asia-Pacific
Current openings include roles in locations such as:
- San Francisco
- Mountain View
- Bellevue
- Bengaluru
- Amsterdam
- Singapore
- Tokyo
Who Should Apply?
Databricks opportunities are suitable for:
- Data engineers
- Data scientists
- Machine learning engineers
- Software developers
- Cloud professionals
- Computer science graduates
- AI researchers
- Analytics professionals
Candidates with skills in data platforms, programming, artificial intelligence, and distributed computing can find opportunities aligned with their expertise.
How to Apply
Interested applicants can explore current Databricks job openings through the company’s official careers portal.
Applicants should prepare:
- An updated CV highlighting technical skills
- Data and AI project experience
- Programming knowledge
- Cloud and analytics experience
- Examples of problem-solving achievements
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