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Job Description:

• Design, implement, and optimize data solutions using the Snowflake cloud data platform.
• This role plays a pivotal part in architecting data warehouses, data lakes, and ETL processes to enable efficient data storage, processing, and analytics for the DOE.

Job 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 communication and collaboration abilities.
• Ability to work in an Agile or iterative development environment.