Snowflake Data Warehouse

Role Overview: As a Data Architect, you will be responsible for defining the data requirements and structure for the application. Your main tasks will include modeling and designing the application data structure, storage, and integration. It is crucial to ensure that the data architecture aligns with the business objectives and technical specifications. Collaboration with various teams is essential to support application functionality, performance needs, scalability, and security aspects effectively. Key Responsibilities: - Serve as a Subject Matter Expert (SME) in the field. - Collaborate with and manage the team efficiently. - Make team decisions and take responsibility for them. - Engage with multiple teams to contribute to key decisions. - Provide solutions to problems that have implications across multiple teams. - Conduct workshops and discussions to gather requirements and feedback from stakeholders. - Mentor junior professionals on best practices and emerging trends in data architecture. Qualification Required: - Must Have Skills: - Proficiency in Data Architecture Principles. - Proficiency in Snowflake. - In-depth knowledge of Snowflake cloud data platform, including: - Schema design. - Performance tuning. - Query optimization. - Snow pipe, Streams & Tasks, and Time Travel. - Strong understanding of data modeling techniques and methodologies. - Experience with data integration tools and ETL processes. - Knowledge of database management systems and data storage solutions. - Familiarity with cloud-based data architecture and services. (Note: Educational Qualification of 15 years full-time education and a minimum of 12 years of experience are required for this role.),