Solution Architect

The SA role has evolved. Here’s the version we’re hiring for. The SA job in 2026 is not the SA job in 2023. Three things now sit at the center of how we evaluate this role. This hire has to do all three at a senior level, with the architectural depth to back it up. 1. Use AI every day to do the job better. 2. Sell AI into the account. 3. Sell against AI. About the role: Solution Architects are the senior technical voice on our Solution Engineering team. SAs partner with SEs on the most complex enterprise deals: architecting solutions, leading deep technical conversations, and unblocking opportunities that hinge on data infrastructure, security, or AI strategy. Your depth compounds the work SEs are already doing and accelerates deal velocity across the territory. You will work alongside Enterprise Regional Sales Managers and SEs on new and existing accounts. You will partner closely with Sales, Product, Engineering, and Support. Prospects and customers will come to you for architectural guidance and product expertise, especially on AI strategy, governance, and warehouse-native architecture.

Responsibilities

Use AI every day to do the job better; Sell AI into the account; Sell against AI; Lead the technical strategy on complex enterprise opportunities, paired with the SE assigned to the account; Run deep technical discovery and architecture workshops with data teams, security teams, AI leads, and executive stakeholders; Design and build custom prototypes that prove out high-value use cases, including AI-driven workflows using Sigma Assistant, Sigma agents, warehouse agents, and MCP integrations; Present Sigma’s architecture and AI runtime story to audiences ranging from analysts to CTOs and CDOs; Own the technical narrative on RFPs, RFIs, AI risk reviews, and security questionnaires; Advise on integration, migration, governance, and AI patterns across Snowflake, Databricks, BigQuery, and Redshift; Position Sigma against Databricks AI/BI and Genie, Snowflake Cortex Analyst, Tableau, Power BI, Looker, and AI-native entrants. Defend that position with architecture, not slogans; Build reusable SA assets: architecture patterns, AI-workflow playbooks, competitive teardowns, and reference implementations the whole team can run; Shape the product from the front line. File feature requests, write up customer patterns, and partner with Product and Engineering on what to build next, especially across the AI surface; Mentor SEs. Contribute to the wiki, the playbooks, and the next hire’s ramp; Manage several enterprise engagements at once; Earn and maintain product, sales, and technology certifications; Hit quarterly and annual targets set by your manager.

Requirements

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; Data engineering fluency: ETL and transformation experience with dbt, Fivetran, Matillion, or comparable tools; 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; 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; 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; 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; Education: Bachelor’s degree in a technical field, or equivalent experience; Travel: Willingness to travel up to 25%.

Benefits

Equity; Stock options; Variable pay based on goal achievement; Comprehensive benefits package; Generous health benefits; Flexible time off policy; Paid bonding time for all new parents; Traditional and Roth 401k; Commuter and FSA benefits; Lunch Program; Dog friendly office