Staff Forward Deployed Engineer
Databricks · Remote - India · Professional Services Operations · listed July 8, 2026
The shape of it
Seniority
Staff
Experience asked
2–15 years
Where
Remote
Requirements listed
11
Length
639 words
In the posting’s own words
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.
What it asks for · 11
- 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
What the job covers
- 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.
Tools and skills named
Data
- Databricks4×
- Spark2×
Cloud & infra
- AWS
- Azure
- GCP
- Kafka
Languages
- Python
- Scala
Operations & finance
- Stakeholder management
Ways of working
- Technical writing
Words the posting leans on
- customer9×
- big data6×
- experience5×
- skills5×
- architecture4×
- projects4×
- solutions4×
- technical4×
- cloud3×
- engineering3×
- multiple3×
- product3×
- support3×
- build2×
- building2×
- collaborate2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.