At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will be responsible for ensuring sustained hiring of the highest quality talent, organizational design and alignment with peer/partner teams within and outside engineering and robust processes for efficient execution against product strategy.
The impact you will have: Solve real business needs at a large scale by applying your software engineeringEnsure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadershipEvolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architectureManage technical debt, including long term technical architecture decisions and balance product roadmapLeading and participating in technical, product, and design discussionsBuilding, managing, and operating a highly scalable services in the cloudGrowing leaders on the team by providing coaching, mentorship, and growth opportunitiesPartnering with other engineering and product leaders on planning, prioritization and staffingCreating a culture of excellence on the team while leading with empathyWhat we look for: Experience building and leading teams in a complex technical domain, such as on distributed data systems or database internalsBuilding, growing, and managing high-performance teamsAbility to attract and hire engineers who meet the Databricks hiring principlesExisting experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.Knowledge of database internals (highly Preferred)BS in Computer Science (Masters or PhD Preferred)15+ years of industry experience building and supporting large-scale distributed systems.Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementEmployee 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 .
Local Pay Range
$240,000 — $337,000 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 .
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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