P-1091

About the Team

The Databricks SQL Experience team at Databricks focuses on creating an incredible data analytics, discovery and governance experience on top of the Databricks platform. They develop highly scalable, available, and fault-tolerant SaaS services that manage high production traffic and leverage AI technology to manage complex workflows for large enterprise customers.

Mission

Our mission is to enable Databricks users to create, discover, share, and govern their data assets by delivering simple and efficient tools that leverage rich metadata and AI strengths. We provide organizations with deep insights into their assets to help them collaborate effectively and make data-driven decisions.

Outcomes

As the senior technical lead, you will help the team achieve the mission by driving the technical direction of highly scalable and performant data and AI systems, working across partner teams to create technical clarity and alignment, and collaborating with senior leadership to build the product strategy and roadmap.

You will report to the Director of Engineering.

What You’ll Do

Solve real business needs at large scale by applying your deep technical knowledge and analytical skills.
Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
Low-level systems debugging, performance measurement & optimization on large production clusters.
Introduce tools to allow greater automation and operability of services.
Use your deep experience to help prevent and investigate production issues.
Plan and lead complicated technical projects that work with several teams within the company.
Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

Requirements

Describe what this executive needs to have proven experience in to accomplish in this role.

BS/MS/PhD in Computer Science or related majors, or equivalent experience.
10+ years of hands-on experience developing highly scalable distributed systems
5+ years of technical leadership experience building complex production systems
Strong analytical and problem-solving skills with a demonstrable bias toward action.

Ability to effectively collaborate and communicate with technical peers and cross-functional partners.

What We Look For

15+ years of industry experience building and supporting large-scale distributed systems.
Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).
Comfortable working towards a multi-year vision with incremental deliverables.
Motivated by delivering customer value and impact.
Strong foundation in algorithms and data structures and their real-world use cases.
Experience driving company initiatives towards customer satisfaction.

Please Note: Fraudulent job postings and job scams are increasingly common. Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool)."

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.

Local Pay Range

$220,400—$297,400 USD

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.

Compensation Overview

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