Snowflake

Job Requirements We are looking for a Snowflake Lead with 12 years of data engineering experience. You will lead our data architecture team. You will build enterprise-grade data warehouses, data lakes, and analytics solutions on Snowflake. You will guide technical decisions, mentor team members, and work with business leaders. Key Responsibilities Architecture & Design: Design scalable, secure, and high-performance data pipelines and data models on Snowflake. Team Leadership: Lead a team of data engineers. Review code, set best practices, and guide technical delivery. Migration & Integration: Lead data migrations from legacy systems (Teradata, Oracle, Netezza, or on-premise Hadoop) to Snowflake. Performance Tuning: Optimize Snowflake compute costs, virtual warehouses, clustering keys, and query performance. Data Governance: Implement data security, masking, role-based access control (RBAC), and data sharing using Snowflake features. CI/CD & DevOps: Build automated CI/CD pipelines for data deployments using tools like Git, Jenkins, or GitHub Actions. Stakeholder Management: Talk to business partners to understand requirements and turn them into technical designs. Required Skills & Qualifications Experience: 10 to 12 years in IT, with at least 5 to 6 years focused exclusively on Snowflake and cloud data warehousing. Snowflake Expertise: Deep knowledge of Snowflake architecture, Snowpark, Streams, Tasks, Zero-Copy Clone, Time Travel, and Data Sharing. Programming Languages: Strong skills in Python, SQL, and Spark. Cloud Platforms: Hands-on experience with AWS, Azure, or GCP. ETL/ELT Tools: Experience with modern data integration tools like dbt, Informatica, Talend, or Fivetran. Certifications: Snowflake SnowPro Core or Advanced Certification is strongly preferred.

Work Experience 7-10Years