Snowflake Architect

🕒 April 3

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏛️ Architect

🦅 H1B Visa Sponsor

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Onebridge

201 - 500 employees

Onebridge is a BI, Data Analytics, and Enterprise Application Development consulting firm. We’ve served some of the largest healthcare, life-sciences, manufacturing, financial services, and government entities in the U.S. for over 15 years. 100% Employee owned and operated, Onebridge is a top “Best Places to Work” in Indianapolis for six years in a row.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• A Best Place to Work in Indiana since 2015

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