Databricks: Manager, Forward Deployed Engineering — Remote - India
Databricks lists a Manager, Forward Deployed Engineering opening in Remote - India. The job description covers AWS, Azure, Google Cloud, Excel, AI, compliance, insurance.
Recruitment overview
| Organisation | Databricks |
|---|---|
| Post / role | Manager, Forward Deployed Engineering |
| Department | Professional Services Operations |
| Employment type | Not specified |
| Notification / job ID | 8503068002 |
| Job location | Remote - India |
| Work arrangement | Remote |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | 12+ years of industry experience |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Databricks
Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.
The position and its setting
Databricks lists Manager, Forward Deployed Engineering in Remote - India, under reference 8503068002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Professional Services Operations
- Employer listing date: 14 April 2026
Responsibilities and work described
- 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
- Partner with key business stakeholders to prioritise work and create amazing products to support our data platform
- Management: 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
- Delivery: input to grow and improve internal processes and customer success service offerings
- Effectively builds and leverages customer relationships throughout the sales and delivery process
Essential requirements and candidate background
- Experience leading the development of IP, reusable tooling, and assets for field professional services teams and partners
- 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: AWS / Azure / GCP
- Documentation skills, along with project management experience
- Abilities manage multiple engagements, while delivering extremely high levels of customer satisfaction
- 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
Preferred experience and additional strengths
- Knowledge: Databricks ecosystem is a plus
Location, schedule and contract conditions
- This individual is expected to be based in Bengaluru
- Work arrangement: Remote
- Advertised location: Remote - India
Benefits mentioned by the employer
- 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
- 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
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Manager, Forward Deployed Engineering vacancy is not an offer for reference 8503068002; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Databricks
Applications follow the official employer page linked below.
Open the official Databricks posting below and match the title and reference 8503068002.
Compare your qualifications and experience with the essential conditions for the Remote - India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: AWS
For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.
Relevant skills
- Hadoop
- Spark
- AWS
- GCP
- Azure
- Google Cloud
- Excel
- AI
- compliance
- insurance
- sales
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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