Snowflake Data Architect

TekLeaders, Inc
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Query Performance Data Architecture Data Vault Modeling Dimensional Modeling Data Flow Control Role-Based Access Control Cloud Services SQL Databases Data Streaming Google Cloud Azure Data Factory Snowflake
+6 more
Event Driven Architecture Information Technology AWS Glue Apache Kafka Stream Processing Data Pipelines

Requirements

  • 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).

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