Snowflake Architect

As a highly skilled and experienced Snowflake Architect, your role will involve designing, developing, and deploying enterprise-grade cloud data solutions. You should have a robust background in data architecture, cloud data platforms, and Snowflake implementation. Hands-on experience in end-to-end data pipeline and data warehouse design is essential for this position. **Key Responsibilities:** - Lead the architecture, design, and implementation of scalable Snowflake-based data warehousing solutions - Define data modeling standards, best practices, and governance frameworks - Design and optimize ETL/ELT pipelines using tools such as Snowpipe, Azure Data Factory, Informatica, or DBT - Collaborate with stakeholders to understand data requirements and translate them into robust architectural solutions - Implement data security, privacy, and role-based access controls within Snowflake - Guide development teams on performance tuning, query optimization, and cost management in Snowflake - Ensure high availability, fault tolerance, and compliance across data platforms - Mentor developers and junior architects on Snowflake capabilities **Qualifications Required:** - At least 8+ years of overall experience in data engineering, BI, or data architecture - Minimum of 3+ years of hands-on Snowflake experience - Expertise in Snowflake architecture, data sharing, virtual warehouses, clustering, and performance optimization - Strong proficiency in SQL, Python, and cloud data services (e.g., AWS, Azure, or GCP) - Hands-on experience with ETL/ELT tools like ADF, Informatica, Talend, DBT, or Matillion - Good understanding of data lakes, data mesh, and modern data stack principles - Experience with CI/CD for data pipelines, DevOps, and data quality frameworks - Solid knowledge of data governance, metadata management, and cataloging If you meet these requirements and are ready to take on a challenging and rewarding role as a Snowflake Architect, we encourage you to apply.,