Snowflake Architect

Job description

**Role Summary** We are seeking an experienced **Snowflake Architect** to lead the design, architecture, and implementation of scalable cloud-based data platforms. The ideal candidate will possess extensive expertise in Snowflake, AWS/Azure cloud services, modern data warehousing, data lake architectures, and enterprise analytics ecosystems. This role will be responsible for defining data strategies, designing end-to-end data solutions, optimizing platform performance, ensuring data governance, and driving cloud data modernization initiatives across the organization. **Key Responsibilities** **Architecture & Solution Design** - Design and implement enterprise-scale Snowflake data platforms. - Define and implement modern data architectures encompassing: - Data Lakes - Data Warehouses - Data Marts - Lakehouse architectures - Develop scalable and secure data models supporting analytics, BI, AI, and ML use cases. - Create architecture roadmaps aligned with business and technology strategies. **Cloud Data Engineering** - Architect Snowflake solutions on AWS and/or Azure. - Design cloud-native data ingestion, transformation, and orchestration frameworks. - Implement ELT/ETL pipelines using modern cloud technologies. - Optimize data movement across on-premise and cloud environments. **Data Platform Modernization** - Lead migration of legacy data warehouses (Teradata, Oracle, SQL Server, Netezza, Redshift, Synapse, etc.) to Snowflake. - Define best practices for cloud adoption, scalability, and cost optimization. - Drive enterprise data modernization programs. **Performance & Optimization** - Optimize Snowflake compute and storage utilization. - Implement clustering, partitioning, caching, workload management, and query performance tuning. - Establish monitoring, capacity planning, and platform observability. **Security & Governance** - Design enterprise security models. - Implement RBAC, data masking, row-level security, and compliance controls. - Ensure adherence to data governance, privacy, and regulatory requirements. - Support audit and risk management initiatives. **Stakeholder Leadership** - Collaborate with business, analytics, engineering, and executive stakeholders. - Lead architecture reviews and governance discussions. - Mentor data engineers, developers, and technical teams. - Act as the Snowflake Center of Excellence (CoE) lead and subject matter expert. **Required Qualifications** **Education** - Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field. **Experience** - 12+ years of overall data engineering and architecture experience. - 5+ years of hands-on Snowflake architecture experience. - Proven experience designing enterprise-scale cloud data solutions. - Extensive experience with large-scale data warehouse and analytics platforms.