# Staff Forward Deployed Engineer

**Company**: Databricks
**Location**: Remote - India
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8530855002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c5daeb27-f0b

## Description

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

## Skills

### Required
- Apache Spark
- Kafka
- Cloud Native
- Data Lakes
- Big Data Architectures
- AI implementations
- Databricks ecosystem
- Python
- Scala
- GCP
- AWS
- Azure

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8530855002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)