Solution Architect

Sigma; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Equity

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

Job summary

Sigma, located in San Francisco, is seeking a Senior Solutions Architect to lead technical strategies for complex enterprise opportunities. The role demands expertise in cloud data warehouses like Snowflake and strong SQL skills.

Ideal candidates will have over 8 years in analytics with a customer-facing background. Benefits include generous health packages, flexible time off, and equity opportunities.

Qualifications

• 8+ years in business intelligence, analytics engineering, or data platform roles.
• 3+ years in a customer-facing technical role.
• Deep expertise in one cloud data warehouse: Snowflake, Databricks, BigQuery, or Redshift.

Responsibilities

• Lead technical strategy on complex enterprise opportunities.
• Run technical discovery and architecture workshops.
• Design and build custom prototypes for use cases.

Skills

Technical depth

Data engineering fluency

AI fluency

Enterprise selling

Executive presence

Pace and energy

Team fit

Education

Bachelor's degree in a technical field or equivalent experience

Tools

dbt

Fivetran

Matillion

Job description

Overview

The SA role has evolved. 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.

Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, and analytics directly in Sigma, with governance and security inherited from the cloud data warehouse.

What You’ll Do

• 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.

What We’re Looking For

• 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
• Generous health benefits
• Flexible time off policy. Take the time off you need!
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.

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