• Conduct in-depth discovery, data-flow mapping, and documentation of customer environments, both on-site and remotely. • Deliver compelling technical presentations and product demonstrations to stakeholders including C-level executives, developers, DBAs, IT security, and other technical or business audiences. • Lead and manage Proof-of-Concepts, contribute to RFI/RFP responses, and validate customer requirements through hands-on technical engagement. • Architect, install, and configure Protegrity software solutions tailored to customer needs and deployment environments. • Create detailed solution design and project planning documents using standardized formats. • Collaborate with sales teams, partners, and professional services to align technical activities with customer outcomes. • Mentor other Solution Engineers and Services personnel while continuing to build your own expertise through certifications, hands-on labs, and current knowledge of data privacy and cybersecurity trends. • Regularly use cloud labs across AWS, Azure, and GCP to validate capabilities, support customer scenarios, and maintain accurate records in CRM and other presales applications.

• Lead technical discovery sessions, product demonstrations, proof-of-concepts, and pilot engagements for enterprise customers. • Partner with sales teams throughout the technical evaluation process to drive successful customer outcomes. • Support joint go-to-market initiatives and co-sell engagements with strategic partners, including AWS and Okta. • Support customer integrations, technical evaluations, and implementation discussions. • Collaborate with product and engineering teams to communicate customer requirements, feedback, and implementation challenges. • Help transition successful enterprise pilots into signed customer engagements. • Serve as a trusted technical advisor to enterprise stakeholders throughout the sales cycle.

• Lead the architecture, hardening, and continuous security improvement of enterprise Snowflake platforms across complex, security-sensitive client environments, ensuring strong controls, resilience, and long-term maintainability. • Translate business, security, and technical requirements into operating models, roadmaps, and engineering work that strengthen platform controls, access patterns, governance, and secure delivery practices. • Design and lead proactive monitoring, alerting, and threat detection across Snowflake environments using native audit and telemetry data, integrating with SIEM or similar platforms to detect, investigate, and remediate anomalous or unauthorized activity. • Use threat modeling and attack-path analysis to identify and remediate risk across access models, data sharing, network controls, identity posture, third-party integrations, service accounts, secrets management, and configuration drift. • Guide architectural and operational decisions across governance, authentication, privileged access, network security, and data protection, balancing platform risk, business priorities, compliance requirements, and performance goals. • Serve as a trusted advisor and senior technical leader across client stakeholders, internal engineers, and partner teams, clearly communicating trade-offs, platform risks, and remediation plans while guiding difficult decisions in complex environments. • Contribute to and improve managed services standards by creating automation, runbooks, accelerators, and best practices that enhance the quality, consistency, and scalability of secure Snowflake operations. • Lead cross-functional teams and mentor engineers while helping mature phData’s secure managed services delivery model.

• Design and implement technical solutions for utilities and energy sectors, focusing on Demand Side Management, Transportation Electrification, and clean energy technologies. • Analyze business needs to tailor Resource Innovations' SaaS-based solutions, optimize workflows, and enhance system efficiency. • Provide expert consulting on product configuration, implementation, and ongoing support while developing technical documentation, conducting gap analyses, and ensuring seamless software integration. • Streamline system implementation and reduce manual inefficiencies through automation to drive cost savings, performance improvements, and data-driven decision-making.