FEQ425R617
As a Product Specialist - Builder Team, you will build, maintain, and support projects that integrate and extend the Databricks platform to democratize data and AI use cases faster. In this role, you will advance the roadmap for specific priority projects the team develops and evaluate partner solutions. In addition, you will support the infrastructure to maintain Databricks Labs, which enables all field engineering to contribute to tooling efforts. A successful candidate in this role will have strong customer empathy, product focus - the ability to define what a customer needs from a tooling solution, and a data-driven mindset to maximize the impact of our tools. You should feel comfortable working with partners, customers, and internal stakeholders to make sure our tooling continues to evolve. You will report to Guenia Izquierdo, the Product Specialist Leader - Builder Team as part of the Field Engineering Scale organization.
The impact you will have:
- Build, debug, and extend multiple internal and public infrastructure components of the Databricks Labs ecosystem
- Author high-quality technical documentation, reference architectures, and internal guides to scale knowledge and best practices across the organization.
- Establish and document engineering best practices, coding standards, and reusable patterns for Labs projects, enabling rapid and consistent solution delivery.
- Collaborate with cross-functional teams—including Field Engineering, Product, and Platform Engineering—to gather requirements, align on technical direction, and drive project execution.
- Contribute to the evaluation, adoption, and integration of new technologies relevant to Databricks Labs and our automation tooling ecosystem.
What we look for:
- Experience working towards a multi-year vision with incremental deliverables.
- Production experience of 10+ years in at least three of the following: Terraform, Scala, Go, Apache Spark, Java, Python. Experience with one compiled language is required.
- Passion for defensive programming and building highly scalable and reliable software.
- Motivated by delivering customer value and impact.
- BS/MS/PhD in Computer Science, Engineering, or related technical field, or equivalent practical experience.
- Excellent written and verbal communication skills, with a track record of producing clear technical documentation and sharing knowledge across teams.
Benefits
- Employer contributions to public or private health plan
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
