Staff Forward Deployed Engineer
Leads customer-facing architecture, consulting, and delivery of Databricks-based big data and AI solutions across cloud platforms. Requires extensive big data experience, independent architecture expertise, AI implementation experience, and strong Python or Scala skills.
About the job
Responsibilities
- Collaborate on customer big data projects, including 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 design, build, and deployment of big data and AI applications.
- Provide architecture and design expertise and support customer projects to ensure successful adoption and integration of Databricks solutions.
- Partner with Engineering and Customer Support teams to provide feedback, resolve engagement-specific issues, and drive product improvements.
- Manage and guide multiple diverse projects while adhering to well-architected principles and quality standards.
- Identify and mitigate risks proactively and build strong customer trust.
Requirements
- 15+ years of experience with big data technologies such as Apache Spark, Kafka, cloud-native technologies, and data lakes in a customer-facing post-sales, technical architecture, or consulting role.
- 6+ years of experience working independently on big data architectures.
- 2+ years of experience with AI-based implementations, including RAG, MCP, and context engineering.
- Strong experience with the Databricks ecosystem.
- Proficiency writing code in Python or Scala.
- Experience working across GCP, AWS, and Azure.
- Documentation and whiteboarding skills.
- Excellent problem-solving and critical-thinking skills.
- Technical skills supporting the deployment and integration of Databricks-based solutions.
- Excellent stakeholder-management skills when collaborating with technical and domain experts.
- Customer-focused, innovative, and able to develop durable solutions for generative AI environments.
Benefits
- Comprehensive benefits and perks designed to meet employees’ needs.
- Region-specific benefits details are provided by the employer.
Skills
Spark, Apache Kafka, Data Lakes, Databricks, Python, Scala, GCP, AWS, Microsoft Azure, RAG, Mcp, Context Engineering, Data Engineering, Data Science, Whiteboarding
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