Senior Data Engineer - Product

About the Role

At Snowflake, we are powering the era of the agentic enterprise. We seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. We are looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
• Own and manage cost optimization for Product and Data Science team operations.
• Optimize pipelines for performance, reliability, and efficiency.
• Build and maintain dashboards and reporting platforms using Streamlit.
• Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
• Work with modern AI tools, including Cursor, to accelerate development.
• Implement data governance, security best practices, and access control policies.
• Develop and enforce data quality checks, SLA monitoring, and dependency tracking.
• Utilize version control systems (e.g., Git) and manage deployment workflows.
• Proactively troubleshoot and resolve data-related issues.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning.
• Advanced proficiency in Python, with experience scripting and automating data workflows.
• Proven experience working with Spark for large-scale data processing.
• Demonstrated experience building Streamlit applications integrated with Snowflake.
• Strong command of SQL for complex data querying and analysis.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, or BigQuery.
• Strong problem-solving and communication skills.
• Ability to thrive both independently and as part of a collaborative, fast-paced team environment.

Preferred:

• Master’s degree in Computer Science, Engineering, or a related discipline.
• Strong understanding of data warehousing principles, architecture, and best practices.
• Experience working within Agile development frameworks (e.g., Scrum, Kanban).