Hybrid Details:
Must reside in MA/NH/RI
Duration:
12 months to start
Job Description
- The client is seeking a highly skilled, experienced and motivated Snowflake Architect/Developer to join our team.
- The ideal candidate will have deep experience with Snowflake, data modeling, ETL/ELT processes, and cloud data architecture.
- You will work closely with Snowflake architecture team to deliver scalable, high-performance solutions that meet business analytics and reporting requirements.
- This role requires a deep understanding of Snowflake’s features and best practices, as well as strong problem-solving skills and the ability to work collaboratively with cross-functional teams.
- Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management.
- User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies.
- Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction.
- Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization.
- Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage.
- Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment.
- Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance.
- 5+ years of experience in data architecture, data engineering, or database development.
- 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security.
- At a minimum Bachelor’s degree in Computer Science, Information Technology, or related field.
- Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred).
- Experience or exposure to AI tools.
- Deep understanding of data warehousing concepts, dimensional modeling, and analytics.
- Excellent problem-solving and communication skills.
- Experience integrating Snowflake with BI and reporting tools is a plus
- Strong proficiency in Snowflake architecture, features, and capabilities.
- Knowledge of SQL and Snowflake-specific query optimization.
- Experience with ETL tools and data integration processes.
- Strong proficiency in SQL and Python.
- Strong Database design and data modelling experience. Experience with data modeling tools.
- Ability to identify and drive continuous improvements.
- Strong problem solving and analytical skills.
- Demonstrated process-oriented and strategic thinking skills.
- Strong motivation and a desire to continuously learn and grow.
- Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc.
- Experience working in AWS cloud environments.
- Experience working with Power BI and other BI, data visualization, and reporting tools.
- Business requirement gathering and aligning to solutions delivery.
- Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies.
- Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus.
- Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus.
- Analytical Skills: Excellent problem-solving and analytical skills with strong attention to detail.
- Communication: Effective communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders.
- Teamwork: Ability to work independently and collaboratively in a fast-paced environment.
- Snowflake certification (e.g., SnowPro Core or Advanced Certification).
- Experience with data visualization tools (e.g., Power BI).
- Knowledge of technical areas such as T-SQL, DevOps, and scripting.