About this role
About the Role
The Principal Solution Architect is a senior leadership role that blends hands-on delivery accountability with executive-level strategy. This role ensures solutions are not only well-designed, but successfully implemented and realized within client environments. This individual serves as a trusted advisor to clients, owning the end-to-end solution lifecycle—from pre-sales through implementation—while driving technical excellence, client value, and business outcomes.
What You'll Do
- Lead solution design for complex, enterprise-scale engagements across multiple clients or industries, ensuring alignment with enterprise architecture standards.
- Act as the primary technical escalation point for assigned clients and guide pre-sales activities including discovery, framing, and proposals.
- Own scoping, estimation, and cost modeling for large opportunities; validate proposals for technical integrity and risk.
- Oversee transition from pre-sales to delivery; provide ongoing leadership during implementation to ensure scalable, optimized solutions and measurable client value.
- Drive adoption and realization of solutions within client environments; stay current on industry trends and identify process improvements.
- Partner with internal product, engineering, and delivery teams; mentor and guide less experienced architects; promote standard practices.
What We're Looking For
- 10+ years of combined experience in technical pre-sales and solution implementation; 10+ years in client-facing executive engagements.
- 5+ years in data-driven marketing environments (database, direct, or digital marketing).
- Bachelor's degree and/or equivalent experience; cloud platform expertise (AWS, Azure, or GCP).
- Strong expertise in enterprise solution architecture for complex systems; hands-on experience with Snowflake, Databricks, or similar data platforms.
- Deep knowledge of identity resolution (deterministic and probabilistic matching; offline/online stitching); real-time data processing architectures; CDP / Customer 360.
- AI/ML-enabled analytics concepts applied to large-scale data; experience with real-time data architectures and modern data platforms.
- Excellent communication, relationship-building, and leadership; ability to articulate technical value to non-technical stakeholders.