CData Software

Engineer

• Be the trusted technical advisor for enterprise clients, understanding their data integration challenges and business objectives
• Lead architectural design sessions and workshops to define an optimal data architecture and situate CData within an ecosystem of existing / competing approaches
• Provide strategic guidance on data integration best practices, governance, and scalability
• Collaborate with client’s technical leadership to explain how technical recommendations and decisions correlate to business impacts and priorities
• Present technical solutions and recommendations to C-level executives and technical stakeholders
• Design comprehensive data integration architectures using CData's connectivity platform
• Create detailed technical specifications, solution blueprints, and implementation roadmaps which are contextual to your customer current and future state
• Evaluate client environments and recommend appropriate CData product configurations for the current and future state architecture
• Collaborate with Solution Engineers to deliver compelling product presentations, demonstrations, proof-of-concepts, and MVP launches
• Stay current with emerging data integration technologies and industry trends
• Lead complex technical discussions
• Collaborate with client engineering teams to influence their strategic vision for data platform investments / product development and roadmap
• Mentor junior team members and share architectural best practices across CData
• Present at conferences on data integration and the role of data in AI investments
• Ensure successful implementation (MVP) and subsequent end user adoption of CData solutions within client environments in collaboration with Customer Success Managers
• Identify expansion opportunities and drive technical wins that lead to account growth
• Identify areas of CData product development which will lead to account growth
• Support enablement of the sales team on new technology and trends
• Lead presentations at industry conferences / webinars regarding client successes

Forward Deployed Engineer

Product Operations

• AI-Native Product Lifecycle Transformation: Redesign and operationalize the end-to-end product lifecycle to embed AI across planning, design, development, testing, documentation, support, and release workflows
• Product Operating System Architecture: Define and evolve the architecture, tooling, and systems that support an AI-native product lifecycle
• Build and deploy automation and agent-driven workflows that reduce manual overhead and increase execution speed
• Product Intelligence & Decision Systems: Build AI-assisted roadmaps and launch communication systems that connect product strategy through execution and go-to-market delivery

Forward Deployed Engineer

Senior Product Operations Manager, AI-Native