Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and large-scale modernization efforts.
Define and implement architectural patterns for on-premises to cloud migrations, including ingestion, transformation, storage, and analytics layers.
Partner with data engineering and analytics teams to design scalable data models, ELT frameworks, and integration patterns using Snowflake and SQL.
Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs.
Define and enforce data governance, security, and data quality standards, working closely with compliance and data management teams.
Review architectural designs, data pipelines, and implementations to ensure alignment with performance, scalability, security, and governance best practices.
Support analytics and reporting teams by ensuring Snowflake architectures enable self-service BI and reliable access to trusted data sources.

8+ years of experience in data architecture, cloud data engineering, or enterprise data platform design.
Deep, hands-on expertise with Snowflake, including architecture design, performance optimization, security models, and large-scale transformation workloads.
Proven experience leading greenfield data platform implementations and on-premises to cloud migrations.
Strong expertise in Azure, advanced SQL, and ETL/ELT architecture within enterprise data ecosystems.
Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices.
Strong understanding of analytics enablement and integration with BI platforms such as Power BI or Sigma.
Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not required.

Snowflake Architect

Key skills