Snowflake Solution architect

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Experience:

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Job Summary:

Snowflake Solution Architect

Key Responsibilities:

• Lead end-to-end

  architecture, design, and implementation

  of Snowflake-based data solutions.
• Develop

  data models, data pipelines, and ETL/ELT frameworks

  integrating multiple data sources.
• Provide

  technical leadership and mentorship

  to the data engineering team.
• Define and enforce

  data governance, data quality, and security standards

  .
• Work closely with stakeholders to translate

  business requirements into technical solutions

  .
• Optimize Snowflake performance including

  query tuning, warehouse sizing, and cost management

  .
• Collaborate with

  cloud architects

  (AWS/Azure/GCP) to ensure seamless integration.
• Evaluate and recommend

  modern data tools and technologies

  to enhance the data ecosystem.
• Participate in

  code reviews, architecture reviews, and technical documentation

  .

Technical Skills Required:

• Strong hands-on experience with

  Snowflake Solution architect

  (architecture, performance tuning, data sharing, time travel, etc.)
• Proficiency in

  SQL, Python, and ETL/ELT tools

  (e.g., Informatica, dbt, Talend, Matillion, etc.)
• Experience with

  Cloud Platforms

  : AWS (preferred), Azure, or GCP.
• Good understanding of

  data modeling techniques

  (Kimball, Data Vault, etc.)
• Experience with

  data lakes, lakehouses, and real-time streaming

  (Kafka, Spark, etc.)
• Knowledge of

  CI/CD, automation, and orchestration tools

  (Airflow, Jenkins, Git).
• Understanding of

  security, access controls, and data privacy compliance

  .