ApplySarthiManager, Forward Deployed Engineering
Databricks
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This role on the market
5,623 open engineering roles across 528 companies are on ApplySarthi right now, most of them in Bengaluru (300), Hyderabad (110), Chennai (55).
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What engineering roles keep asking for: AWS (17%), Python (13%) — counted across their open postings here.
AWS jobs · Azure jobs · Customer success jobs · Databricks jobs
Databricks has 888 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Databricks.
Questions you are likely to be asked
- Why do you want to join Databricks?
- What is your experience with Databricks? Tell me one thing you learned the hard way.
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Manager, Forward Deployed Engineering at Databricks interview free →The impact you will have:
- Hire great people and provide technical guidance, career development, and mentoring to team members
- Participate in key technical and design discussions with technical leads in the team as a hands-on manager
- Experience leading the development of IP, reusable tooling, and assets for field professional services teams and partners
- Partner with key business stakeholders to prioritise work and create amazing products to support our data platform.
- Manage a team of technical data engineers to achieve customer, company, and team goals
- Acts as the first point of escalation for customers when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues.
- Provide input to grow and improve internal processes and customer success service offerings.
- Effectively builds and leverages customer relationships throughout the sales and delivery process.
- 12+ years of industry experience
- 6+ years of successful experience in a customer facing role
- 4+ years of experience leading a technical team of Data Engineers / Architects
- Extensive experience in Big Data ecosystem (Spark, Hadoop ecosystem, Cassandra etc)
- Knowledge of AWS / Azure / GCP
- Knowledge of Databricks ecosystem is a plus
- Proven documentation skills, along with strong project management experience.
- Strong abilities manage multiple engagements, while delivering extremely high levels of customer satisfaction.
- Excellent people skills to partner with various key business stakeholders.
- Conversant with business issues our customers face today and likely big data use cases in different industries
- Experience estimating effort and scope for services
- Private medical insurance
- Accident coverage
- Employee's Provident Fund
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance
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.
Match this job to your CV
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Listed on greenhouse · posted 2026-04-13. ApplySarthi collects openings and links to application pages; the role is advertised by Databricks, not by us.