$135,000 – $180,000
Listed on Sigma Computing’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior technical leader who architects complex enterprise data and AI solutions, working alongside sales engineers to close large deals at Sigma Computing, a cloud data warehouse analytics platform. The role demands deep expertise in modern data platforms, fluency with AI agents and language models, and the ability to position Sigma against competing analytics and AI vendors in high-stakes customer conversations.
Our summary, not Sigma Computing’s wording. The full posting is on their site.
Skills this role names
- Amazon Redshift
- ChatGPT
- Cursor AI
- Databricks
- Dialectical Behavior Therapy (DBT)
- Google BigQuery
- Matillion
- Model Context Protocol (MCP)
- Python
- Snowflake
- SQL
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What they ask for
Required
- 8+ years in business intelligence, analytics engineering, or data platform roles
- 3+ years in customer-facing technical roles (SE, SA, or consulting)
- Deep expertise in at least one major cloud data warehouse
- Strong SQL skills
- Modern data architecture knowledge including warehousing, modeling, governance, and security
- ETL and transformation experience with tools like dbt, Fivetran, or Matillion
- Daily use of modern AI tools
- Ability to discuss agents, MCP, context engineering, and major model providers
- Track record leading complex enterprise sales cycles or large BI implementations
- Executive presence and communication skills across technical and business audiences
- Bachelor's degree in a technical field or equivalent experience
- Willingness to travel up to 25%
Nice to have
- Familiarity with competitive positioning against Databricks Genie, Snowflake Cortex Analyst, Tableau, Power BI, and Looker
- Experience with warehouse-native agent patterns
- Knowledge of governance, security, and compliance frameworks