Staff Forward Deployed Engineer
Databricks2 months ago
Responsibilities
- Collaborate on customer big data projects by creating reference architectures, how-to guides, and production-ready scalable tools and technologies.
- Advise strategic customers on big data transformations, third-party migrations, and the design, build, and deployment of big data and AI applications.
- Provide architecture and design expertise to support customer projects and successful Databricks adoption and integration.
- Partner with Engineering and Customer Support to provide feedback, resolve engagement-specific issues, and drive product improvements.
- Manage and guide multiple customer projects while maintaining architectural quality, proactively mitigating risks, and building customer trust.
Requirements
- 15+ years of experience with big data technologies such as Apache Spark, Kafka, cloud-native platforms, and data lakes in a customer-facing post-sales, technical architecture, or consulting role.
- 6+ years of independent experience working on big data architectures.
- 2+ years of experience working on AI-based implementations, including RAG, MCP, and context engineering.
- Strong experience with the Databricks ecosystem and the ability to code in Python or Scala.
- Experience working across GCP, AWS, and Azure.
- Ability to document and whiteboard technical solutions and apply strong problem-solving and critical-thinking skills.
- Experience supporting the deployment and integration of Databricks-based solutions for customer projects.
- Strong stakeholder-management skills and the ability to collaborate with technical and domain experts.
Benefits
- Comprehensive employee benefits and perks, with details varying by region.
Tech Stack
Categories
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).