Staff Forward Deployed Engineer

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