Snowflake Data Architect

Job Description

• 7+ years of experience in enterprise data engineering and analytics architecture, with at least 3+ years of hands-on experience designing and deploying Snowflake solutions.
• Proven experience leading greenfield Snowflake implementations, building platforms from the ground up in enterprise settings.
• Deep expertise in cloud services that complement Snowflake (Azure Data Factory, AWS Glue, Google Cloud Platform Dataflow, etc.).
• Extensive experience designing and implementing ELT pipelines using SQL and cloud-native tools.
• Strong understanding of modern data architectures, including Medallion lake house models, data vault, and dimensional modeling (Inmon & Kimball).
• Proficiency in governance and security best practices, including Snowflake RBAC, masking policies, and compliance controls.
• Hands-on experience optimizing Snowflake environments, including clustering keys, materialized views, and query performance tuning.
• Familiarity with streaming architectures and real-time data processing (Kafka, Snow pipe Streaming, etc.) is a plus.
• Experience working in Agile delivery environments, leading teams through solution design, implementation, and deployment.
• Strong consultative skills, with the ability to engage with stakeholders, define technical roadmaps, and deliver high-impact solutions.
• BA/BS required, preferably in Management Information Systems, Computer Information Systems, Computer Science, or related fields (applicable education and experience may be substituted).
• Advanced degree (MS) in a quantitative or related discipline preferred (applicable experience may be substituted).