Staff Forward Deployed Engineer
Join Databricks as a Staff Forward Deployed Engineer to tackle big data challenges and deliver tailored solutions across cloud environments.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers.
Requirements
- Experience
- 15+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Staff Forward Deployed Engineer at Databricks, the individual will engage directly with clients to address their big data challenges, delivering customized solutions that leverage the Databricks Platform. Key skills include extensive experience with big data technologies like Apache Spark and cloud platforms, along with a strong coding background in Python or Scala. This position is ideal for seasoned professionals with over 15 years in technical architecture or consulting, particularly those with a focus on AI implementations. Databricks emphasizes a collaborative environment, partnering with various teams to enhance product offerings and customer satisfaction.
Joblaze insights
- Listed about 3 months ago — first seen on Joblaze July 8, 2026. Last confirmed on Databricks's careers page October 12, 2026.
- This exact title is also open at 1 other location at Databricks: Berlin, Germany; Munich, Germany.
Quick facts
- How much experience is required?
- At least 15 years of relevant experience for this Staff Forward Deployed Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, GCP, Kafka, Python.
- What seniority level is this role?
- Databricks targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Forward Deployed Engineer role at Databricks.
From the original posting
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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
BenefitsStandard company text repeated across Databricks's postings is omitted here.