Principal Forward Deployed Engineer

Role Description

CData is the data layer behind enterprise AI in production. As organizations move from experimentation to mission-critical agentic workflows, they need a partner who can connect AI to live, governed data across hundreds of systems — and an architect who can design that solution inside the customer's environment.

We're hiring an Architect, Forward Deployed Engineering (FDE) to be the senior technical leader inside our most strategic enterprise engagements. You'll embed with customers to translate AI ambitions into production architectures on CData Connect AI, our managed MCP platform, and the broader CData stack — designing how data, AI, and governance fit together end-to-end. You'll be the technical voice the customer trusts and the field-level expert whose patterns shape what we build next in product.

This is a senior IC role with significant leverage. You won't manage people directly, but you'll mentor FDEs on each engagement, set the technical bar for the work, and partner closely with the FDE Director and Product leadership on the patterns that turn field wins into reusable IP.

Why This Role Matters:

• The Architect, Forward Deployed Engineering works directly with strategic customers and designs how AI, data and governance come together end-to-end to ensure deployments on Connect AI are scalable, secure, and deliver measurable outcomes.
• This role goes beyond solution design. By shaping architectures, defining best practices, and identifying product gaps in real time, the Architect directly influences the evolution of the Connect AI platform.
• Their work creates patterns that accelerate future deployments, strengthen technical credibility with enterprise buyers, and reduce time to value across engagements.

Qualifications

• 7+ years as a Solutions Architect, Principal SE, Forward Deployed Engineer, or Technical Lead at a data platform, AI, or enterprise SaaS company
• Has built and shipped production AI applications — not just prototypes
• Worked on a SaaS Platform in an Architect Profile (or closely aligned role)
• Customer-facing track record with senior technical buyers and architecture review boards
• Strong AI/ML literacy: LLM capabilities, agentic architectures, RAG patterns, prompt engineering, and when to apply each
• Able to define Multi-tenant Architectural patterns and security objectives
• Hands-on enterprise data integration: SQL, ETL/CDC pipelines, API design, ODBC/JDBC, and multi-source connectivity
• Able to design governed data access for AI agents — RBAC, OAuth 2.1, semantic scoping, and audit-trail requirements
• Experience with modern data stacks (Snowflake, Databricks, Salesforce) and cloud-native deployment patterns
• Ability to translate complex AI + data concepts into executive-ready architecture proposals
• High agency; comfortable being the senior technical voice in the room with the customer
• Experience mentoring junior engineers without requiring direct reporting relationships

Requirements

• Direct experience with the MCP protocol and AI agent frameworks (LangChain, CrewAI, Copilot Studio)
• Prior experience as an FDE or in a similar embedded customer-facing engineering role
• Travel Required: Up to 50%

Benefits

• Medical, Dental, and Vision plans with company-paid insurance premiums
• Health Savings Account offering with company contribution to help mitigate increasing health costs
• Flexible Savings Account and Dependent Care FSA
• Generous 20-day PTO and 11 paid holidays
• 401k with 100% company match up to 6% of contribution
• A remote-friendly, high-trust culture that empowers collaboration, celebrates curiosity, and encourages innovation
• Work closely with your manager to define professional development and learning opportunities that match your career goals