Principal Solution Engineer

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Protegrity

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

🔒 Cybersecurity

📋 Compliance

🏢 Enterprise

Cybersecurity • Compliance • Enterprise

Protegrity is a company specializing in advanced data security solutions. It offers a comprehensive platform that includes AI-powered data protection designed for secure data consumption, enabling enterprises to pursue cloud initiatives, outsource analytics, and share data securely. Protegrity provides a range of functions including dynamic data masking, format-preserving encryption, and vaultless tokenization to protect sensitive data. The company partners with leading providers like AWS and Snowflake to support data protection in cloud environments. Protegrity's solutions are built for enterprise architects, DBAs, and engineers to enable high performance and compliance in distributed data environments.

📋 Description

• 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.

🎯 Requirements

• Bachelor’s degree or equivalent practical experience, such as 4+ years in a similar technical role. • 8+ years of experience in solution engineering, consulting, presales, or technical advisory roles across data, security, privacy, AI, or adjacent enterprise software domains. • Demonstrated success leading technical engagements in complex enterprise environments, from discovery and architecture through technical validation and executive alignment. • Solid understanding of enterprise architecture, cloud environments including AWS, Azure, and GCP, hybrid deployment models, and modern containerized architectures. • Strong hands-on knowledge of Docker, Kubernetes, and related deployment patterns, with the ability to discuss, validate, and troubleshoot container-based solutions with technical stakeholders. • Practical understanding of how enterprises use data across analytics, applications, and AI workflows, including GenAI, RAG, copilots, or agentic systems. • Excellent communication, presentation, documentation, and customer-facing skills, with the ability to engage both C-level executives and deep technical stakeholders. • Strong organizational skills, a consultative mindset, business outcome orientation, and the adaptability to keep learning emerging technologies, especially AI-driven architectures and the security, privacy, and governance challenges they create.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Generous vacation and holiday time off • Ongoing learning & development access