Solution Architect

Join Sigma, a leading data analytics platform, as a Solution Architect. In this role, you will be the senior technical voice on our Solution Engineering team, partnering with Sales Engineers on complex enterprise deals, leading technical conversations, and unblocking opportunities related to data infrastructure, security, and AI strategy. You will work closely with Enterprise Regional Sales Managers, Sales, Product, Engineering, and Support, and will be responsible for leading the technical strategy on complex enterprise opportunities, running technical discovery and architecture workshops, designing and building custom prototypes, and presenting Sigma's architecture and AI runtime story to various audiences. Additionally, you will advise on integration, migration, governance, and AI patterns, position Sigma against competitors, build reusable assets, shape the product, mentor Sales Engineers, manage multiple enterprise engagements, and maintain product, sales, and technology certifications.

• Lead the technical strategy on complex enterprise opportunities, architecting solutions, and unblocking opportunities that hinge on data infrastructure, security, or AI strategy.
• Run deep technical discovery and architecture workshops with data teams, security teams, AI leads, and executive stakeholders, and design and build custom prototypes.
• Own the technical narrative on RFPs, RFIs, AI risk reviews, and security questionnaires, and position Sigma against competitors with architecture, not slogans.
• Data engineering fluency. ETL and transformation experience with dbt, Fivetran, Matillion, or comparable tools
• Technical depth. 8+ years in business intelligence, analytics engineering, or data platform roles, with at least 3 in a customer-facing technical role (SE, SA, or consulting). Deep expertise in at least one cloud data warehouse: Snowflake, Databricks, BigQuery, or Redshift. Strong SQL and a solid grasp of modern data architecture: warehousing, modeling, governance, security
• Travel. Willingness to travel up to 25%
• Education. Bachelor’s degree in a technical field, or equivalent experience
• AI fluency. Daily user of modern AI tools. Comfortable talking about agents, MCP, A2A, context engineering, retrieval, evals, and the major model providers. You can position Sigma’s AI stack against warehouse agents like Genie and Cortex Analyst, and against AI-native BI entrants, without hand-waving
• Executive presence. You hold a CFO and a data engineer in the same room without switching gears awkwardly. You lead the architecture review and the boardroom briefing
• Enterprise selling. Track record of leading complex enterprise sales cycles or large BI implementations. You know how to partner with AEs and SEs to close
• Pace and energy. You operate well in a high-velocity environment. Self-starter. No hand-holding
• Team fit. You want a team that sharpens each other. You bring field intel back. You contribute to the playbooks and the next SE’s ramp. Ego stays out of the room