Snowflake Architect
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Job Description
Snowflake Architect designing and implementing enterprise data platforms at a global AI consulting firm. Lead data strategy and collaborate with engineering teams for analytics solutions.
Responsibilities:
- 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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