FEQ225R163

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 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
• Guide other FEs to be self-sufficient with tooling through mentoring, and creating reference materials on how to use tooling.
• Evaluate various partner tooling solutions and be able to recommend which tools to use for different scenarios.

What we look for:

• Experience working towards a multi-year vision with incremental deliverables.
• Production experience of 7+ 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 (or higher) in Computer Science or a related field.

Benefits

• Comprehensive health coverage including medical, dental, and vision

• 401(k) Plan

• Equity awards

• Flexible time off

• Paid parental leave

• Family Planning

• Gym reimbursement

• Annual personal development fund

• Employee Assistance Program (EAP)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

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.

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.