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Staff Forward Deployed Engineer

Databricks· Professional Services
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Remotefull-timePosted 3mo ago

About the role

Senior customer-facing engineer delivering tailored Databricks-based data engineering and data science solutions across multiple clouds, with a focus on AI-enabled problem solving, robust automation, and scalable customer outcomes.

Responsibilities

  • 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.

Qualifications

  • 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 into 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:Big Data TechnologiesBig Data ArchitecturesAI-based implementationsDatabricks ecosystemProgramming languagesCloud platformsDocumentation and white-boarding

Benefits

  • Comprehensive benefits package (region-specific details available)
  • Diversity and inclusion commitment
  • Access to Databricks benefits overview document
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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