Solution Architect- Snowflake (Hyderabad)

Job Summary: Key Responsibilities: - Data Architecture & Modeling: Design and implement data models in Snowflake, optimizing for performance, storage efficiency, and ease of use. - Data Integration: Develop and manage ETL/ELT processes to integrate data from various sources into Snowflake, using tools like AWS Glue, Azure Data Factory, or Informatica. - Performance Optimization: Monitor and tune Snowflake performance, managing compute resources and optimizing queries to ensure cost-effective and high-performance data processing. - Data Governance & Security: Implement data governance practices within Snowflake, including role-based access control, data masking, and encryption to ensure data security and compliance. - Solution Design: Collaborate with business stakeholders and data engineers to understand business needs, and translate them into scalable Snowflake solutions. - Automation: Develop scripts to automate data loading, transformations, and other recurring processes, ensuring data consistency and reliability. - Documentation: Create and maintain comprehensive documentation for data models, data flows, and processes to facilitate knowledge sharing and scalability. - Mentorship: Provide technical leadership and mentorship to junior developers and data engineers, guiding them on best practices in Snowflake and data warehousing. Technical skills: Solution architect familiar with Cloud-based architectures and DWBI Analytics domain knowledge with experience in Snowflake work on solutions and technologies to help our clients move their on-premise data warehouses to the cloud products like Snowflake Big Query and others work to provide thought leadership solutions and support others with expertise - Design and Implement cloud data platforms and cloud-related architectures - Design solution leveraging Snowflake native capabilities - Collaborating within a project team to solve complex problems - Thought leadership strategy and direction for the Snowflake practice - .