• As a Solutions Architect – Data Services you will define and drive end-to-end data solutions across the Data Services portfolio. • This is a builder–architect role focused on Azure Databricks, data mesh architectures, domain-oriented data products, and Unity Catalog–based governance. • You will collaborate closely with Product Management, System Architects, Engineering teams, and enterprise stakeholders to ensure solutions are both architecturally sound and practically deliverable. • Contribute to the architectural vision and implementation strategy for data initiatives, ensuring alignment with business goals and platform standards. • Guide implementation across teams and ensure designs survive real-world delivery constraints. • Design and execute proof-of-concepts (POCs) to validate architectural decisions and reduce delivery risk.

Role Description This is NOT IT, Software or Cybersecurity. Solutions Engineer are opportunity-aligned, vertical-specific technical experts who translate customer requirements into feasible, configurable solutions. They own initial solution design, documentation, and validation, and work closely with Account Executives to ensure customer solutions are feasible and manufacturable, before handing them off to Application Engineers for more detailed design and BOM preparation. - Meeting customers face-to-face to co-create efficient, manufacturable, and cost-effective solutions – doing what’s right for the customer, even if that means removing cost to earn long-term trust. - Taking inbound requests from customers for insights, advice, and expertise; becoming the customer’s “trusted solutions advisor.” - Communicating with stakeholders “up-and-down” the customer’s org, presenting solutions with credibility to both technical resources and engineers, and executive leaders. - Acting as the liaison between the customer and Forgent’s engineering teams, translating customer needs into clear, actionable designs for Application Engineers to further detail (and ultimately handed over to manufacturing teams). - Championing the technical credibility and capability of Forgent both through demonstrated expertise in front of customers, and at broader industry events and trade shows (e.g., as a panel speaker). - Sharing insights, customer feedback, and learnings back into Forgent, helping the org capture lessons learned and filed intelligence to improve the “library” of configurable designs and future product evolution. - Partnering early and often with Account Executives from initial opportunity strategy. - Upskilling and adding expertise through classes, certifications, industry events, conferences, etc. - Proactively shaping opportunities, identifying design optimizations or system configurations that could improve customer outcomes before they ask. - Building long-term customer trust as the go-to technical advisor for customers; building “repeat demand” and a desire to partner with that specific Solution Engineer again. Qualifications - 3-6+ years in application engineering, solution architecture, or technical pre-sales. - Deep technical knowledge of power systems, infrastructure, or related technologies. - Strong presentation and communication skills – including the ability to engage credibly with customer engineers. - Experience collaborating with sales teams to win complex solution deals. Requirements - Lead solution validation to ensure proposals are feasible, cost-effective, and manufacturable. - Collaborate with Application Engineers to hand off high-level designs for detailed solution / BOM preparation. - Present solutions in technical meetings with customers (and other ecosystem partners). - Support RFP responses and proposal development with technical content.

• Support, troubleshoot, and optimize publisher integrations within an AdTech environment. • Work closely with publishers, internal technical teams, QA, and operations. • Improve integration quality, ad delivery, performance, and client satisfaction. • Contribute code while participating actively in design discussions. • Collaborate with cross-team efforts to enhance overall project outcomes.

• Define and enforce a coherent architectural strategy aligned with product vision and long-term platform evolution. • Make and defend high-impact design decisions with multi-year implications. • Lead structural changes required to support scale, extensibility, new communication channels, and AI-enabled supervision capabilities. • Partner with Product Management to translate market and customer needs into durable architectural requirements. • Align Engineering, Product, Compliance, and customer-facing leadership around architectural trade-offs and investment priorities. • Negotiate effectively with demanding internal and external stakeholders. • Architect resilient, secure-by-design, auditable systems capable of operating at petabyte-scale enterprise data volumes across global deployments. • Translate regulatory and compliance requirements into concrete architectural patterns and controls. • Establish governed integration patterns for AI services within Conduct workflows. • Enable AI use cases such as: • AI-assisted policy violation detection and behavioral signal analysis • Investigator workflow acceleration (summarization, prioritization, case insights) • Embed responsible AI principles — privacy, security, fairness, transparency, auditability, and explainability — into platform architecture. • Ensure AI-enabled components meet standards for reliability, observability, cost control, and performance. • Prototype and validate architectural approaches. • Conduct deep design reviews and trade-off analysis. • Troubleshoot production-scale issues involving performance, scalability, and distributed systems behavior. • Coach and mentor engineers to elevate architectural capability across teams.