CData Software
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CData is the data layer between AI and ROI—delivering the connectivity, context, and control that make enterprise AI more accurate. One platform for live access and data replication across 350+ sources, semantic intelligence that ensures context-aware responses, and built-in governance for every AI-to-data interaction. Powering AI and analytics workloads for Anthropic, Databricks, Microsoft, Google, Palantir, and more than 10,000 customers worldwide.
Behind that impact is a global team of passionate problem-solvers, engineers, and innovators who are redefining what’s possible in data connectivity.
Headquartered in Chapel Hill, North Carolina, CData has over 500 team members, with offices in North America, Europe, and Asia. We take pride not just in what we build, but in how we build it: together, with curiosity, creativity, and a shared drive to push boundaries.
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 engineers who can ship that connection inside the customer's environment.
We're hiring Forward Deployed Engineers to be the hands-on delivery force on our most strategic enterprise engagements. You'll embed with customer teams to deploy CData Connect AI, our managed MCP platform, and the broader CData stack, configuring MCP servers, building agent integrations, writing the production code that connects customer systems to AI, and validating that it works end-to-end. You'll work alongside an FDE Architect on engagement design and report into the Director of Forward Deployed Engineering.
This is a builder role. The bar is building and shipping production-grade AI integrations on a multi sprint cadence and the field signal you generate flows straight into the Connect AI roadmap.
The Forward Deployed Engineer is the hands-on force that turns CData’s Connect AI platform into real, working solutions inside customer environments. The FDE works directly with enterprise teams, and builds and ships production-grade integrations, connecting complex data systems, enabling governed access, and ensuring agent workflows perform reliably at scale. This role is critical to delivering tangible customer outcomes. FDEs ensure customers move from AI experimentation to real business impact. At the same time, the patterns, code, and insights the FDE generates in the field feeds directly back into the product, improving the platform and accelerating future deployments.
Responsibilities include but are not limited to:
Embed and deliver in customer environments
Build and ship AI integrations
Operate and iterate in production
Close the product feedback loop
Must Haves:
Nice to Have:
US Only: The typical base pay range for this role across the US is $150,000–$175,000 per year. The actual range may vary depending on specific locations. In the areas we're looking to hire within Eastern Time and West Coast markets, we expect the base pay range for this role to be $150,000–$175,000, depending on experience and qualifications.
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. CData Software is unable to provide visa sponsorship for this position now or in the future.
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