Synced from Greenhouse · Aug 4

Engineering Manager

DatabricksBengaluru, IndiaPosted Aug 4, 2026
Engineering ManagerSenior
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Aug 4
Posted
Greenhouse
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Job descriptionReq 8357216002

P-995

About the Team

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. 

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for a senior leader to run our Connect organization in India. This is a great opportunity to lead a key strategic initiative for Databricks. The ideal candidate would have experience leading teams that build Data infrastructure as well as interest/experience in running product centric organizations. We would also look for the ability to collaborate effectively across time zones as well organizational boundaries. 

The impact you will have:

  • Solve real business needs at a large scale by applying your software engineering
  • 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
  • Leading and participating in technical, product, and design discussions 
  • Building, managing, and operating a highly scalable services in the cloud
  • Growing leaders on the team by providing coaching, mentorship, and growth opportunities

What we look for:

  • 10+ years of industry experience building and supporting large-scale distributed systems
  • Building, growing, and managing high-performance teams
  • Ability to attract and hire engineers who meet the Databricks hiring principles
  • Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
  • Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

Based on publicly available information. LandEarly does not verify interview process details.

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Engineering Manager
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