We are looking for a Snowflake Architect to design, implement, and optimize scalable data solutions using Snowflake’s cloud data platform. This role involves working closely with data engineers, analysts, and business stakeholders to build high-performance data architectures that support analytics, reporting, and advanced data use cases.
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Design and implement end-to-end data architecture using Snowflake
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Develop and optimize data models (star schema, snowflake schema, etc.)
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Lead data migration projects from legacy systems to Snowflake
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Build and maintain ETL/ELT pipelines using tools like Informatica, Talend, or dbt
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Optimize Snowflake performance (query tuning, clustering, partitioning)
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Implement data governance, security, and access control strategies
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Integrate Snowflake with cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform
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Ensure data quality, reliability, and scalability
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Collaborate with stakeholders to translate business requirements into technical solutions
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Provide technical leadership and mentor data engineering teams
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Strong experience with Snowflake architecture and implementation
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Expertise in SQL and data warehousing concepts
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Hands-on experience with ETL/ELT tools and frameworks
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Experience with cloud ecosystems (AWS, Azure, or GCP)
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Knowledge of data modeling techniques (dimensional modeling, normalization)
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Familiarity with scripting languages like Python or Java
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Understanding of data security and compliance best practices
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Experience with CI/CD and DevOps practices in data environments
