SI Partner Solutions Senior Engineer - North America at Sigma Computing

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

6–8 years of experience in solution engineering, partner enablement, or consulting delivery
Familiarity with cloud data ecosystems: Snowflake, Sigma, dbt, Databricks, etc
Strong SQL skills, with hands-on exposure to BI, data warehousing, or embedded analytics
Comfort in customer- and partner-facing technical roles
Experience with consulting project delivery processes (scoping, QA, hand-off)
Excellent written and verbal communication skills
Demonstrated ability to operate in a high-growth, dynamic environment
Willingness to travel regionally and nationally 50%+
Preferred Certifications: SnowPro Core or Advanced Architect; Databricks Certified Associate Developer or Data Engineer

Responsibilities

Co-develop customer-facing solutions alongside regional SI partners
Promote and enforce the Sigma Delivery Framework in all partner projects
Support enablement sessions and lead workshops to build partner delivery readiness
Guide partners through initial implementations and pilot engagements
Maintain visibility into partner-led project pipelines and intervene when needed
Build example architectures and reusable demo assets for partner use
Align partner offerings with Sigma product best practices
Assist in technical due diligence for new partner onboarding
Provide feedback loops from partner engagements to product and solutions teams
Track partner adherence to delivery best practices and escalate quality issues
Participate in project audits, including architecture validation and delivery debriefs
Serve as a key escalation point for customer-facing partner issues in your region
Represent Sigma at regional events, conferences, and partner forums
Support marketing and community with technical blog content and talks
Help refine partner certification paths and enablement materials

Skills

Key technologies and capabilities for this role

Solution ArchitecturePartner EnablementTechnical DeliveryWorkshopsProject GovernanceImplementationPilot EngagementsArchitecture ValidationDemo AssetsTechnical Due Diligence

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range for this position is $160k - $190k annually. Compensation may vary outside of this range depending on a number of factors.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What are the key qualifications and skills required for this role?

Candidates need 6–8 years of experience in solution engineering, partner enablement, or consulting delivery, familiarity with cloud data ecosystems like Snowflake, Sigma, dbt, and Databricks, strong SQL skills with exposure to BI, data warehousing, or embedded analytics, and comfort in customer- and partner-facing roles.

What is the expected travel requirement for this role?

The role requires willingness to travel regionally and nationally 50%+.

What experience makes a strong candidate for this position?

Strong candidates will have 6–8 years in solution engineering, partner enablement, or consulting delivery, strong SQL and cloud data ecosystem knowledge (Snowflake, dbt, Databricks), preferred certifications like SnowPro or Databricks, excellent communication skills, and experience in high-growth environments.

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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