Semantic Modeling & Governance
• Architect Data Models: Design governed Sigma Data Models on top of Snowflake, translating raw database schemas into an intuitive, business-friendly semantic layer.
• Centralize Logic & Security: Develop reusable core metrics and enforce inherited row-level security within the semantic layer, ensuring a single source of truth and strict data governance.
AI Integration
• Deploy AI Capabilities: Leverage Sigma Assistant and Snowflake Cortex to enable secure, natural-language querying (NLQ) for business stakeholders.
• Enrich Data Natively: Implement inline AI functions directly within workbooks to classify, summarize, and extract insights from unstructured text at warehouse scale.
Workflow Design & Operational Apps
• Build Interactive Workflows: Transform static dashboards into dynamic operational applications using Sigma UI components for cross-functional tasks like forecasting and budget approvals.
• Enable Scenario Modeling: Design robust workbooks leveraging dynamic parameters and Input Tables to support complex, human-in-the-loop "what-if" analysis.
Snowflake Writeback & Architecture
• Implement Secure Writeback: Configure Sigma Input Tables to push user inputs, manual adjustments, and workflow decisions directly back to dedicated Snowflake schemas.
• Optimize & Audit: Maintain immutable audit trails for all writeback activity and balance live-query performance with strategic Snowflake materializations.
Ideal Candidate Profile
• Strong expertise in Snowflake + Sigma (or similar semantic BI tools)
• Experience in data modeling, governance frameworks, and enterprise BI architecture
• Familiarity with AI/ML integrations (Snowflake Cortex, NLQ, unstructured processing)
• Ability to design business-facing analytics applications and workflow solutions
• Strong understanding of data security, auditability, and enterprise-scale performance optimization
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.











