# Staff Forward Deployed Engineer at Databricks

- Company: Databricks (databricks.com)
- Location: Remote - India (remote)
- Places: Remote, India
- Posted: 2026-07-08
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8530855002
- Page: https://ye.saranatour.dev/jobs/staff-forward-deployed-engineer-databricks-kn7ce4nzawy8cq0tkfyt2a0y0s8hdzht

## The posting

Staff Forward Deployed Engineer
Databricks · Remote - India

CSQ427R195

As a **Staff FDE** in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors.

**The impact you will have:**

- Collaborate 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.
- Provide 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 strong customer trust.

**What we look for:**

- **15+ years experience** with**Big Data** Technologies 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**.
- Strong 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.
- Excellent **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.
- Excellent 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**

**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](https://www.linkedin.com/company/databricks), [X](https://x.com/databric