Databricks: Staff Forward Deployed Engineer — Remote - India

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 Staff Forward Deployed Engineer in Remote - India, under reference 8530855002. 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: 8 July 2026

Responsibilities and work described

• Collaboration: on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies
• Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications
• Delivery: expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions
• Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements
• Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building customer trust

Essential requirements and candidate background

• 15+ years experience with Big-data tools: such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
• 6+ years of experience working on Big Data Architectures independently
• 2+ years of experience working on AI based implementations including RAG, MCP, Context engineering etc
• Experience working in the Databricks ecosystem
• Comfortable writing code in either Python or Scala
• Experience working across Cloud Platforms ( GCP / AWS / Azure )
• Documentation and white-boarding skills
• Problem solving and critical thinking skills that turn business problems in to reliable technical products
• Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects
• Stakeholder management skills to collaborate with both technical and domain experts
• Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world

Location, schedule and contract conditions

• Work arrangement: Remote
• Advertised location: Remote - India

Benefits mentioned by the employer

• 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 Staff Forward Deployed Engineer vacancy is not an offer for reference 8530855002; 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 8530855002.

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: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Spark
• Kafka
• AWS
• GCP
• Azure
• MCP
• AI/ML
• Google Cloud
• Excel
• AI
• compliance
• sales