Manager, Professional Services
Databricks
Manager, Professional Services at Databricks is a full time role based in Remote · India, India (remote). It was published on 14 April 2026 and was open at last check.
| Role | Manager, Professional Services |
|---|---|
| Company | Databricks |
| Location | Remote · India, India (remote) |
| Employment type | Full Time |
| Published | 14 April 2026 |
| Status | Open at last check |
CSQ227R28
As a Manager (Professional Services), you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their Databricks journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in Bengaluru.
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.
What we look for:
- 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
Benefits :
- 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.
Create your free OnJob profile to apply — we'll take you to Databricks's application after sign-up. · Posted 14 Apr 2026.
Manager, Professional Services at Databricks — questions answered
What does the Manager, Professional Services role at Databricks pay?
Databricks does not publish a salary on this Manager, Professional Services listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Is the Manager, Professional Services role at Databricks remote?
Yes — Databricks advertises this Manager, Professional Services role as remote, tied to Remote · India, India, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Databricks before you apply.
Is the Manager, Professional Services role at Databricks still open?
The Manager, Professional Services posting at Databricks was open at OnJob's last check of the employer's careers page, having been published on 14 April 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Manager, Professional Services role at Databricks?
Apply to the Manager, Professional Services at Databricks role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Databricks's own application page. Creating a profile is free and needs no card.
Explore more on OnJob
Hiring for a role like this?
Post a job on OnJob and reach AI-matched candidates.