Latest AI JobsBrowse Jobs
Sigma Computing logo

Solution Architect

Sigma ComputingSan Francisco, CASolutions Engineering
Apply on company site
Salary
$135K - $180K USD
Job type
Full-time
Posted
3 Jun 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Solution Architect position at Sigma Computing is a senior technical role based in San Francisco, CA, designed for experienced professionals with a strong background in data platforms and enterprise engagement. This role suits a technical leader who can combine daily AI tool usage with deep architectural knowledge to accelerate complex enterprise sales cycles.

Key Responsibilities

Lead the technical strategy on complex enterprise opportunities in partnership with assigned Solution Engineers.
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 utilizing Sigma Assistant, Sigma agents, and MCP integrations.
Present the company architecture and AI runtime story to diverse 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 the company against competitors like Databricks AI/BI and Genie, Snowflake Cortex Analyst, Tableau, Power BI, Looker, and AI-native entrants.
Build reusable Solution Architect assets such as architecture patterns, AI-workflow playbooks, competitive teardowns, and reference implementations.
Shape product direction from the front line by filing feature requests, writing up customer patterns, and partnering with Product and Engineering.
Mentor Solution Engineers, contribute to the wiki and playbooks, and manage several enterprise engagements at once.

Requirements

8+ years of experience in business intelligence, analytics engineering, or data platform roles.
At least 3 years of experience in a customer-facing technical role such as Solution Engineer, Solution Architect, or consulting.
Deep expertise in at least one cloud data warehouse: Snowflake, Databricks, BigQuery, or Redshift.
Strong SQL skills and a solid grasp of modern data architecture, including warehousing, modeling, governance, and security.
Data engineering fluency with ETL and transformation experience using dbt, Fivetran, Matillion, or comparable tools.
AI fluency, functioning as a daily user of modern AI tools with comfort discussing agents, MCP, A2A, context engineering, retrieval, evals, and major model providers.
Demonstrated track record of leading complex enterprise sales cycles or large business intelligence implementations.
Executive presence capable of engaging a CFO and a data engineer effectively.
Bachelor’s degree in a technical field, or equivalent practical experience.
Willingness to travel up to 25% of the time.

Nice to Have

Expertise in positioning warehouse-native architectures against competing tools and AI-native BI entrants.
Background in developing reusable playbooks and reference implementations for scaling technical teams.

Skills and Tools

Python
SQL
Spark
LLMs
Snowflake
dbt
Databricks
BigQuery
Redshift
Fivetran
Matillion
Claude
ChatGPT
Cursor

Salary and Benefits

The base salary range for this position is $135,000 to $180,000 annually, with compensation varying based on qualifications, skills, competencies, and experience. Additional compensation and benefits include variable pay based on goal achievement, stock options, equity, generous health benefits, a flexible time-out policy, paid bonding time for all new parents, traditional and Roth 401(k) plans, commuter and flexible spending account benefits, a lunch program, and a dog-friendly office environment.

About the Company

Sigma Computing is an AI apps and agentic analytics platform built on the cloud data warehouse. Teams use the platform to build applications, agents, and analytics directly with governance and security inherited from the cloud data warehouse. Trusted by more than 2,000 customers, the company supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace.

How to Apply

Candidates should visit the official company careers page to submit an application and review further details regarding the recruitment and hiring process.

Skills and tech stack

PythonSQLSparkLLMSnowflakedbt

Questions candidates ask

What is the location and work environment for this role?

This role is based in San Francisco, CA, and features an in-office work environment with up to 25% travel required.

What is the salary range for the Solution Architect position?

The base salary range is $135,000 to $180,000 annually, supplemented by variable pay, stock options, equity, and comprehensive benefits.

How much experience is required for this position?

Candidates must have 8+ years of experience in business intelligence, analytics engineering, or data platform roles, with at least 3 years in a customer-facing technical role.

What technical skills are necessary?

Required skills include Python, SQL, Spark, LLM familiarity, cloud data warehouse expertise such as Snowflake, Databricks, BigQuery, or Redshift, and experience with data engineering tools like dbt.

What is the travel requirement for this job?

The position carries a travel expectation of up to 25%.

Ready to apply?

The application is on the official Sigma Computing careers page.

Apply on company site