Staff Forward Deployed Engineer

Databricks Databricks · Data AI · India · Remote · Professional Services Operations

Staff Forward Deployed Engineer role at Databricks, focusing on partnering with customers to solve big data and AI challenges using the Databricks Platform. The role involves creating reference architectures, developing automation utilities, and advising on AI initiatives, with a strong emphasis on RAG and context engineering.

What you'd actually do

  1. 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.
  2. 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.
  3. Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions.
  4. Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements.
  5. 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.

Skills

Required

  • Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes
  • Big Data Architectures
  • AI based implementations including RAG, MCP, Context engineering etc
  • Databricks ecosystem
  • Python or Scala
  • Cloud Platforms (GCP / AWS / Azure)
  • Documentation and white-boarding skills
  • problem solving and critical thinking skills
  • stakeholder management skills

Nice to have

  • customer-facing post-sales, technical architecture or consulting role
  • Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Highly customer-obsessed, innovative and think beyond the current world

What the JD emphasized

  • 15+ years experience
  • 6+ years of experience
  • 2+ years of experience working on AI based implementations including RAG, MCP, Context engineering etc
  • innovative solutions that can last long in the GenAI world

Other signals

  • customer-facing
  • big data challenges
  • AI applications
  • Databricks Platform
  • Python or Scala