Senior Sigma Engineer

Description

JOB DESCRIPTION

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.