Staff Forward Deployed Engineer

As a Staff Forward Deployed Engineer, you will partner directly with customers to solve complex data, AI, and cloud challenges using modern big data technologies. You will act as a trusted technical advisor, helping organizations design, build, and deploy production-ready solutions across diverse cloud environments. The role combines deep engineering expertise with customer-facing architecture and consulting responsibilities. You will create scalable automation, reference architectures, and reusable technical solutions that can benefit multiple customers. You will also contribute to AI-focused implementations, including RAG, MCP, and context engineering, with appropriate security and governance guardrails. Working across engineering, support, and customer teams, you will help turn challenging business requirements into durable technical products and successful outcomes.

• 15+ years of experience working with big data technologies such as Apache Spark, Kafka, cloud-native technologies, and data lakes, ideally in customer-facing post-sales, technical architecture, or consulting roles.

• At least 6 years of experience independently designing and delivering big data architectures.

• At least 2 years of experience implementing AI-based solutions, including areas such as RAG, MCP, and context engineering.

• Strong experience with modern data and AI platform ecosystems and hands-on experience delivering customer solutions.

• Proficiency in Python or Scala, with the ability to develop and adapt technical solutions as required.

• Experience working across major cloud platforms, including AWS, Azure, and/or GCP.

• Strong understanding of data engineering, distributed systems, cloud architecture, AI application patterns, and production deployment considerations.

• Excellent problem-solving and critical-thinking skills, with the ability to translate business challenges into reliable technical products.

• Strong technical documentation, presentation, and whiteboarding capabilities.

• Excellent stakeholder-management and communication skills, with the ability to collaborate effectively with both technical specialists and domain experts.

• A customer-focused mindset and the ability to develop innovative, scalable solutions for evolving data and AI requirements.

• Ability to manage multiple complex engagements while maintaining quality, architectural standards, and delivery focus.