Snowflake Developer

Enterprise Data Architecture & Modeling

• Design and maintain scalable Snowflake data models supporting CRM, Customer360, churn prediction, revenue analytics, and operational intelligence
• Own the data dictionary, metadata management, and documentation standards
• Ensure consistent dimensional modeling (fact/dimension tables) for revenue, customer lifecycle, and engagement tracking

Data Pipeline & Workflow Engineering

• Build and maintain efficient ELT/ETL pipelines and transformations within Snowflake
• Develop and optimize workflows to ensure efficient data processing and integration across Salesforce, CPQ, billing, ERP, support platforms, product telemetry, and other enterprise systems
• Lead efforts to automate data workflows, reducing manual intervention and improving operational efficiency
• Harmonize structured and semi-structured data sources into unified, analytics-ready datasets

Customer360 & Churn Analytics Enablement

• Enable downstream analytics, dashboards, AI models, and churn prediction frameworks
• Design unified customer-level views combining sales, revenue, support, and product usage data
• Support retention, expansion, and lifecycle performance analytics

Data Quality, Governance & Reliability

• Ensure data quality and integrity by implementing robust validation, monitoring, and anomaly detection processes
• Oversee deployment and maintenance of data solutions ensuring minimal downtime and high reliability
• Conduct regular assessments of existing data systems to identify improvement opportunities and implement upgrades

• Establish data governance best practices, access controls, and auditing frameworks