Improve community adoption (through tutorials, training, hackathons, conference presentations)
Contribute to the Databricks Community and act as a technical SME.
What we look for
Pre-sales or post-sales experience working with external clients across a variety of industry markets
Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark)
Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including:
Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity).
Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability
Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc)
Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc).
Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections.
Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions
Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration
Production programming experience in one or more of the following languages - Python, Scala, SQL, or R
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
Nice to have: Databricks Certification
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
