RDQ224R267

Job Description

Data Sharing & Collaboration are key to Databricks’ mission of democratizing data and AI. Delta Sharing delivers data sharing & collaboration capability to our customers via: (a) secured open sharing to organizations on or outside of Databricks, (b) Databricks Cleanroom for privacy-safe collaboration on confidential data, (c) © Databricks Marketplace to discover and access data assets from hundreds of data providers.

We are seeking a visionary Engineering Manager to drive the innovation and next phase of growth of Data Sharing. In this role, you will lead a high-performing engineering team, drive strategic initiatives, and collaborate with product and technical stakeholders to deliver turnkey solutions to our customers.

About the Team

The Sharing and Collaboration team is building large-scale data sharing solutions centered around Databricks. We enable customers to share and collaborate on large data live across cloud and regional boundaries, with applications like Marketplace, Cleanroom, and more built on top of the open-sourced Delta Sharing technology.

We own the Databricks data sharing platform, which supports thousands of customers sharing large-scale data assets with top-notch performance, stability, and scalability. We aim to differentiate with an open sharing ecosystem via open source Delta sharing and a wide range of connectors. 

Delta Sharing is the industry’s first open protocol for secure data sharing, making it simple to share data with other organizations regardless of which computing platforms they use.

Key Responsibilities

• Lead Innovation: Lead the Data Sharing engineering team in evolving Databricks data sharing & collaboration platform
• Strategic Vision: Define and shape the future direction of Databricks data sharing & collaboration, aligning with company strategy and evolving customer needs.
• Team Development: Build and nurture a world-class team of software engineers through strategic hiring, mentoring, and leadership development
• Technical Oversight: Make critical technical decisions, including long-term architectural strategies, while balancing the product roadmap
• Cross-Functional Collaboration: Ensure consistent delivery against milestones while maintaining strong alignment with cross-functional teams

Qualifications

• At least 7 years of Engineering experience and 2+ years of experience as an engineering leader. Past experience in data sharing & collaboration is preferred
• Deep Proven record in developing high-quality, performant software and managing a SaaS & data-focused product
• Strong technical expertise to lead team building and operate a large-scale data sharing platform that supports critical external and internal use cases with high availability and performance
• Strong product sense and ability to understand and anticipate end-user needs, with enthusiasm and comprehensive understanding of the Data and AI landscape
• Skilled in working cross-functionally with product teams, business stakeholders, and external partners
• Experienced in attracting, hiring, and mentoring exceptional engineers; demonstrated success in developing leaders and integrating top-tier senior talent
• Ability to build trust with the team and guide their professional development, including experience working with distributed teams
• Bachelor’s degree (or higher) in Computer Science or a related field

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.BenefitsAt 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.