15 Sigma Technical Writer Jobs Hiring Near You

Job Summary:
Sigma Computing is the AI runtime environment for the modern enterprise. They are seeking a Solution Architect who will serve as the senior technical voice on the Solution Engineering team, leading complex enterprise deals and providing architectural guidance on data infrastructure, security, and AI strategy.
Responsibilities:
• 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.
Qualifications:
Required:
• 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
• ETL and transformation experience with dbt, Fivetran, Matillion, or comparable tools
• Daily user of modern AI tools
• Comfortable talking about agents, MCP, A2A, context engineering, retrieval, evals, and the major model providers
• Track record of leading complex enterprise sales cycles or large BI implementations
• Ability to partner with AEs and SEs to close
• Ability to hold a CFO and a data engineer in the same room without switching gears awkwardly
• Ability to lead the architecture review and the boardroom briefing
• Ability to operate well in a high-velocity environment
• Self-starter with no hand-holding
• Desire to be part of a team that sharpens each other
• Willingness to bring field intel back and contribute to the playbooks and the next SE’s ramp
• Bachelor’s degree in a technical field, or equivalent experience
• Willingness to travel up to 25%
Company:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Founded in 2014, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.