Solution Architect
Sigma Computing5 months ago
Base Salary
$135k - $180k/yr
Responsibilities
- Lead technical strategy for complex enterprise opportunities in partnership with assigned SEs.
- Run technical discovery and architecture workshops with data, security, AI, and executive stakeholders.
- Design and build prototypes for AI-driven workflows using Sigma Assistant, Sigma agents, warehouse agents, and MCP integrations.
- Present Sigma’s architecture and AI runtime capabilities to audiences ranging from analysts to CTOs and CDOs.
- Own the technical narrative for RFPs, RFIs, AI risk reviews, and security questionnaires.
- Advise customers 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 competitors.
- Create reusable architecture patterns, AI workflow playbooks, competitive analyses, and reference implementations.
- Partner with Product and Engineering on customer-driven product improvements, especially across Sigma’s AI capabilities.
- Mentor SEs and contribute to the team wiki, playbooks, and onboarding materials.
- Manage multiple enterprise engagements and maintain required product, sales, and technology certifications.
- Meet quarterly and annual targets set by the manager.
Requirements
- At least 8 years of experience in business intelligence, analytics engineering, or data platform roles, including at least 3 years in a customer-facing technical role such as Solution Engineer, Solution Architect, or consultant.
- Deep expertise in at least one cloud data warehouse: Snowflake, Databricks, BigQuery, or Redshift.
- Strong SQL skills and knowledge of warehousing, data modeling, governance, security, and modern data architecture.
- ETL and transformation experience with dbt, Fivetran, Matillion, or comparable tools.
- Fluency with AI tools, agents, MCP, A2A, context engineering, retrieval, evaluations, and major model providers.
- Track record leading complex enterprise sales cycles or large BI implementations and partnering with account executives and SEs to close business.
- Ability to communicate with executive and technical stakeholders and lead architecture reviews and boardroom briefings.
- Bachelor’s degree in a technical field or equivalent experience.
- Willingness to travel up to 25%.
- Ability to operate independently in a high-velocity environment and contribute to team playbooks, customer feedback, and SE development.
Benefits
- Equity, health benefits, flexible time off, paid bonding time for new parents, traditional and Roth 401k, commuter and FSA benefits, lunch program, and dog-friendly office.
- In-office work environment in offices in San Francisco, New York City, London, and Sydney.
- Role includes travel of up to 25%.
Categories
Solutions Engineering
About Sigma Computing
Sigma Computing builds an AI apps and analytics platform that runs directly on cloud data warehouses for business and technical teams to explore live data, build apps, and automate workflows. It’s delivered as SaaS with spreadsheet, SQL, and Python interfaces for governed reporting, embedded analytics, and data applications. Privately held in San Francisco, it serves customers like JPMorgan Chase and Colgate-Palmolive and raised a Series E round in May 2026.