Remote Position

Snowflake Architect

🌍 Remote · United States 💼 Full-time

Position: Snowflake Architect Work Location: Remote – East Cost Employment Type: 3 Contract Job Summary We are looking for an experienced Snowflake Architect to design, develop, and implement scalable, secure, and high-performance data solutions using Snowflake. The ideal candidate will have strong expertise in cloud data architecture, data warehousing, ETL/ELT processes, and data integration, along with the ability to translate business requirements into effective technical solutions.

Key Responsibilities

  • Design and implement end-to-end data warehouse and cloud data architectures using Snowflake.
  • Develop scalable and high-performance data solutions to support enterprise analytics and reporting.
  • Define data modeling strategies, including dimensional modeling and data warehouse design.
  • Optimize Snowflake performance, including query tuning, warehouse sizing, and cost management.
  • Design and implement data ingestion, transformation, and integration pipelines using ETL/ELT tools.
  • Establish data governance, security, access controls, and data quality standards.
  • Integrate Snowflake with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Collaborate with business stakeholders, data engineers, analysts, and other technical teams.
  • Provide technical leadership, architecture guidance, and best practices for Snowflake implementations.
  • Troubleshoot complex data pipeline and performance issues and recommend effective solutions.

Required Skills and Qualifications

  • Strong hands-on experience with Snowflake architecture and cloud data warehousing.
  • Expertise in SQL, data modeling, and database design.
  • Experience with ETL/ELT tools and data integration frameworks.
  • Proficiency in Python and/or other scripting languages.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of Snowflake security, role-based access control (RBAC), data sharing, and governance.
  • Experience with query optimization, performance tuning, and cost optimization.
  • Strong understanding of data warehouse concepts, lakehouse architecture, and modern data engineering practices.
  • Excellent communication, analytical, and problem-solving skills.

Preferred Qualifications

  • Experience with Snowflake features such as Snowpipe, Streams, Tasks, Dynamic Tables, and Snowpark.
  • Familiarity with orchestration tools such as Airflow or similar platforms.
  • Experience with CI/CD, Git, and infrastructure-as-code tools.
  • Snowflake certification is a plus.
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