• 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

• Write and ship production-grade code – Design, build, and deploy voice AI systems that power real enterprise workflows. • Own deployments end-to-end – Lead discovery, architecture, implementation, and rollout for strategic customer engagements. • Drive progress in ambiguity – Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways. • Deliver across complex infrastructure – Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements. • Unblock critical integrations – Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints. • Drive expansion through building – Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value. • Turn customer signal into platform leverage – Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities. • Build for scale – Transform one-off solutions into repeatable playbooks, templates, and reference architectures.

• Manage and maintain enterprise corporate systems and AVD. • Perform infrastructure maintenance, including patching, capacity planning, configuration management, and troubleshooting complex issues. • Build strong internal partnerships with the user community – Continuous Service Improvement (CSO) approach to process improvement. • Participate in endpoint modernization efforts, collaborating closely with solution architects to shape and implement the technology roadmap, ensuring alignment with organizational goals and user experience enhancements. • Build and maintain systems in such a way that exceeds regulatory requirements. • Participate in compliance audits and address any issues proactively. • Integrate security best practices in infrastructure design and implementation, ensuring a robust security posture across all systems. • Communicate consistently with internal business partners to define and refine requirements. • Play a key role in working with project team members to develop requirements, scope documents and project estimates. • Guide junior team members in project related tasks.

• Lead the end-to-end solution design process and implementation of AEP and CJA using Adobe Data Collection (Tags), Experience Data Model (XDM), and source connectors for both Web and mobile applications. • Conduct audits and assessments of existing Adobe Data Collection (Tags), AEP and CJA implementations, providing best practice recommendations. • Collaborate with Data Architects to integrate other data sets within AEP and CJA. • Simplify complex technical concepts and educate team members and clients in a clear, approachable way. • Create AEP Schemas and datasets • Setup and configure Adobe Customer Journey Analytics (CJA) connections, data views, components, derived fields and Workspaces. • Contribute to internal knowledge sharing and mentor junior engineers in best practices around requirements gathering, solution design, AEP XDM schema design and Adobe Web/Mobile SDK implementation. • Stay current on the latest Adobe Experience Platform features and data engineering trends to inform client strategies.