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Sr. Engineering Manager - Database Platform



Software Engineering, Other Engineering
Seattle, WA, USA
Posted on Thursday, June 13, 2024


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.

The Database Platform is responsible for provisioning and managing the thousands of databases that underpin the majority of Databricks services. The team combines an open source distributed SQL engine with proprietary, AI backed services to ensure high availability, scalability, and performance of all databases across the three major cloud platforms. This is a mission-critical service which is held to the highest standards regarding operational rigor and performance.

We're looking for a dedicated Engineering Leader to lead our data plane teams. This role requires driving innovation in a mission-critical environment, while also nurturing and ensuring the operational excellence of multiple teams.

You will report directly to the Director of Engineering.

The main responsibilities include:

  • You will lead multiple database storage engine and infrastructure teams
  • You will build a data plane that can scale to thousands of databases across multiple clouds
  • You will oversee sustained recruitment of top-tier talent, promoting a synergistic team structure, and collaborate with internal and external stakeholders

The impact you will have:

  • You will lead the development of mission-critical services and infrastructure
  • You will improve Databricks reliability, performance, and efficiency
  • You will grow a world-class team of software engineers working query optimization
  • You will evolve organizational structure to align with long-term projects, build "5 ingredient" teams with good comms architecture
  • You will 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 on storage technologies and database internals
  • Experience with database systems, storage systems, distributed systems, language design, query optimization and performance
  • Can ensure the team builds high quality and reliable infrastructure services; experience being responsible for testing, quality, and service level agreements of a product; previous experience leading teams in a complex technical domain, such as on distributed data systems or database internals
  • Comfortable managing multiple teams in multiple locations
  • BS in Computer Science (Masters or higher level of education 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.

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.


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