Enterprise Architect

Role Description: Responsibilities: Data Architecture: Collaborate with data architects to design and develop Snowflake data models and schemas. Create and maintain a well-structured data warehouse and data lake architecture.Data Integration Develop ETL (Extract, Transform, Load) processes to ingest data from various sources into Snowflake. Ensure data integration processes are efficient, reliable, and scalable. Design and implement data pipelines using Snowflake features like tasks and streams.Performance Optimization Optimize query performance by creating and maintaining appropriate indexes, materialized views, and clustering keys. Identify and resolve performance bottlenecks in data processing.SQL Development Write complex SQL queries, stored procedures, and user-defined functions (UDFs) to support data analytics and reporting needs. Ensure SQL code follows best practices for readability and performance.Security and Access Control: Implement and manage security measures, including role-based access control (RBAC) and data encryption, to protect sensitive data. Audit and monitor data access and user activities.Data Quality Assurance Define and implement data quality checks and validation processes to maintain data accuracy. Establish data quality rules and alerts to proactively identify issues. Documentation Create and maintain technical documentation for data models, ETL processes, and data dictionaries. Document best practices, standards, and guidelines for Snowflake development.Version Control and Deployment Use version control systems (e.g., Git) for managing Snowflake SQL scripts and objects. Coordinate the deployment of changes to Snowflake environments. Monitoring and Alerts: Set up monitoring and alerting for Snowflake environments to proactively detect and respond to issues. Troubleshoot and resolve incidents related to data processing and performance.Backup and Recovery Implement backup and recovery strategies to ensure data integrity and availability. Develop and test data recovery procedures.Collaboration Collaborate with data engineers, data scientists, and business analysts to understand data requirements and provide data solutions. Work with cross-functional teams to support data-related projects and initiatives. Qualifications: Bachelors or masters degree in computer science, data engineering, or a related field.7+ years of experience as a Snowflake developer or data engineer with a focus on data warehousing and ETL.Snowflake certification(s) is a plus.Strong SQL skills and proficiency in data modeling and database design.Knowledge of cloud data warehousing concepts and best practices.Familiarity with data integration tools and technologies.Solid understanding of data governance, data security, and compliance requirements.Experience with version control systems and deployment processes.Excellent problem-solving and troubleshooting skills.Strong com Competencies: Digital : Snowflake

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.