Sr. Engineering Manager - Databricks Default Storage

P-932

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems—from pioneering advancements in healthcare to driving innovations in sustainable energy. We achieve this by building and running the world's best data and AI infrastructure platform, allowing our customers to harness deep data insights to transform their businesses.

Our Default Storage solution is central to this mission, providing seamless, secure, and scalable data storage that empowers organizations to focus on innovation rather than infrastructure complexities. By simplifying data management and enhancing security and governance, our Default Storage has become a cornerstone of our platform's success. As the demand for efficient and secure data storage continues to grow, so does the importance of our storage solutions. As the Senior Engineering Manager of Databricks Default Storage, you'll lead the development of cutting-edge storage solutions designed for ease of use, scalability, and unmatched performance.

We are seeking a visionary Senior Engineering Manager to oversee the integration and optimization of out-of-box Default Storage for Databricks. In this role, you will lead a high-performing engineering team, drive strategic initiatives, and collaborate with major cloud service providers to enhance our data management solutions.

About the Team

The Databricks Default Storage team focuses on the development and optimization of our out-of-box Default Storage solutions for Databricks. Our goal is to simplify data management processes, enhance security and governance, and streamline cloud infrastructure management. This team is at the forefront of innovation in cloud storage, ensuring that our solutions are not only robust and secure but also seamlessly integrated with major cloud service providers and enterprise data frameworks.

Responsibilities

• Guide a cloud-agnostic engineering team committed to delivering the best out-of-box Default Storage for Databricks.
• Engage in technical, product, strategy and design discussions focused on cloud storage management and optimization.
• Define and drive the future of out-of-box Default Storage, aligning with company strategy and evolving customer needs.
• Oversee the recruitment and development of top-tier talent to build a cohesive and dynamic engineering team.
• Foster leadership within the team through coaching, mentorship, and providing growth opportunities.
• Implement strategic processes to efficiently realize the product vision, strategy, and roadmap for our Default Storage offering.
• Work with internal and external stakeholders to ensure alignment with organizational goals and partner ecosystems.
• Evolve the organizational structure to support long-term initiatives and establish effective communication frameworks.

Requirements

• 5+ years in systems related to cloud storage, data management, or similar technical fields.
• A deep enthusiasm for enhancing and innovating cloud storage and data management solutions.
• Proven ability in building high-quality and reliable infrastructure services with a focus on testing, quality assurance, and service level agreements.
• Demonstrated ability to attract, hire, and mentor engineers of the highest caliber; experience in growing leaders and integrating top-tier senior talent.
• Ability to gain the trust of the team and guide their careers effectively; experience managing distributed teams is preferred.
• Comfortable working with product management and directly with customers; possesses a deep understanding of product nuances and customer personas.

 

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$222,000—$300,000 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.