Posted:
10/10/2024, 9:24:33 AM
Location(s):
Mountain View, California, United States ⋅ California, United States
Experience Level(s):
Senior
Field(s):
Product
Pay:
$244/hr or $507,520 total comp
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
Requirements
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.
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.
Website: https://databricks.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 5001-10000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series I
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning