Snowflake Data Architect

Snowflake Data Architect/ but with strong experience in SNOWFLAKE Administration / and ETL

Looking for a senior, hands-on resource. Comfortable with configuration, dev and admin work and at the same time look at the modernization project in a holistic way.

• Design, implement, and maintain Snowflake data warehouse solutions to fulfill business requirements effectively.
• Deploy and optimize DBT models and transformations to streamline data processing and facilitate analytics.
• Manage Fivetran data pipelines to enable seamless data integration and synchronization.
• Utilize AWS Glue for data cataloging, executing ETL jobs, and performing data transformation operations.
• Apply Python and SageMaker for advanced analytics, machine learning initiatives, and data science projects.
• Employ DB2, SQLServer, and Informatica as necessary for data migration, integration, and administration tasks.
• Collaborate with data engineers, analysts, and stakeholders to comprehend data needs and deliver actionable insights.
• Develop and enforce data governance and security protocols to uphold data quality and regulatory compliance.
• Monitor system performance, troubleshoot issues, and implement performance optimization strategies.
• Stay abreast of industry best practices and emerging technologies in data warehousing and cloud computing domains.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven experience working with Snowflake, DBT, Fivetran, AWS Glue, Python, SageMaker, DB2, SQLServer, and Informatica technologies in a data engineering or analytics role with 5-6 years of experience.
• Certifications in Snowflake, DBT, AWS Glue, Python, SageMaker, or related technologies.
• Knowledge of data governance frameworks and data privacy regulations (e.g., GDPR, CCPA).
• Strong SQL skills and experience with data modeling, ETL/ELT processes, and data pipeline management.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with scripting languages (e.g., Python, Bash) for automation and orchestration tasks.