P-180
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.
We are the data warehouse (i.e. DBSQL) AI team, a core part of the Databricks Data Intelligence Platform. Our goal is to enable Databricks users to 1- efficiently use ML/AI in their workloads in SQL and 2- have a differentiated experience due to ML/AI-based tuning of the underlying engine in DBSQL based on their workload. We are a highly innovative team working at the intersection of ML/AI, Data and Systems fields. We work with a variety of system and ML teams across the company to drive unique initiatives in various parts of the Databricks software stack. We're seeking a dedicated Engineering Leader to drive innovation and deliver robust solutions in the domain of Data, AI and Systems.
The key responsibilities include:
- Leading a talented engineering team distributed in multiple geographies
- Actively work with the teams across DBSQL to identify impactful areas to apply innovative solutions based on ML and advanced heuristics with the goal of improving performance, cost or usability.
- Overseeing sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders
- Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities
The impact you will have:
- Re-architect core parts of Databricks platform using advanced heuristics and ML/AI in ways no other company has
- Define, shape, and drive the future of Databricks Data Intelligence Platform
- Grow a world class team of software engineers. Hire top-notch staff+ level talent
- Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
- Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
- Manage technical debt, including long term technical architecture decisions and balance product roadmap
What we look for:
- 5+ years experience working in a related system with an emphasis distributed data systems
- A passion for database systems, storage systems, distributed systems, language design, and performance.
- Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and SLAs of a product. Previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals
- Ability to attract, hire, and coach engineers who meet the Databricks hiring standards. Can uplevel the existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of the team and guide their careers. Experience managing distributed teams preferred
- Comfort working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas
- BS in Computer Science (Masters or PhD Preferred)
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
$210,900—$285,000 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.
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.
Top Skills
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.
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