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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