Job Description
Job Description:
- Data Architecture Design:Design and implement robust data architectures using Snowflake, considering scalability, performance, and security requirements.Collaborate with cross-functional teams to understand data needs and translate them into effective data solutions.
- Snowflake Implementation: Lead the implementation of Snowflake data warehousing solutions, including database schema design, ETL processes, and data integration.Configure and optimize Snowflake environments to meet performance and business requirements.
- Data Modeling:Develop and maintain data models, ensuring alignment with business objectives and data governance standards. Collaborate with data scientists and analysts to create efficient and effective data models for analytics and reporting.
- Performance Tuning: Monitor and optimize query performance in Snowflake, identifying and addressing bottlenecks for improved efficiency. Implement best practices for performance tuning and optimization.
- Data Security and Compliance: Implement and enforce data security measures within Snowflake, ensuring compliance with regulatory standards. Work closely with the security team to address any vulnerabilities and enhance data protection.
- Collaboration and Documentation: Collaborate with internal teams to understand data requirements and provide guidance on best practices. Document data architecture, processes, and configurations for knowledge sharing and future reference.
- Continuous Learning: Stay updated on the latest trends and advancements in Snowflake and cloud-based data solutions. Participate in training and development activities to enhance skills and knowledge.
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