• Extensive experience as a System & Data Architect in complex enterprise environments, with focus on Lead-to-Order / Prospect-to-Order data flows (Telecom preferred)
• Proven track record designing scalable data architectures supporting CPQ-driven sales processes (pricing, quoting, product configuration, order capture)
• Deep hands-on expertise with Salesforce (Sales Cloud, CPQ) as a system of record, including data extraction, integration, and synchronization patterns
• Expertise in building robust data integration frameworks across Salesforce, Snowflake, supporting batch and real-time pipelines
• Demonstrated ability to design and implement end-to-end data lineage, ensuring traceability, auditability, and data quality across systems
• Strong command of modern data architecture patterns (APIs, ELT/ETL, event-driven architectures) within SaaS ecosystems
• Ability to define high-level architecture and drive detailed design across CRM, data warehouse, and analytics layers (e.g., Sigma Computing)
• Experience enabling governed data pipelines for AI/ML and enterprise identity systems (e.g., Scient Enterprise AI ID tool)