Snowflake Data Engineer

Snowflake Data Engineer | About You

As a Sr. Snowflake Data Engineer, you are responsible for designing, building, and optimizing scalable data solutions that serve as trusted sources across the enterprise. You excel at transforming complex, raw data into well‑structured models that support analytics, reporting, and strategic decision‑making. You thrive in fast‑paced, agile environments and enjoy architecting efficient data pipelines within the GCP ecosystem. You collaborate effectively with cross‑functional teams and advocate for high‑quality engineering standards.

Your ability to deliver reliable, performant, cloud‑native data solutions makes you a key contributor to the organization's data modernization goals.

• Design, build, and maintain scalable, secure data pipelines using Snowflake and GCP-native services to support enterprise‑wide data initiatives.
• Partner with business and technical teams to develop well‑modeled, authoritative data sources that support data commercialization and analytics.
• Manage work using Agile tools such as Jira and Service Now, participating in sprint ceremonies and contributing to team delivery.
• Modernize and optimize data integration workflows, including deprecating legacy systems and migrating to high‑performing, cloud‑native solutions.
• Collaborate with BI and reporting teams to enable self‑service analytics through tools like Power BI and Sigma, ensuring high data quality and availability.
• Participate in code reviews, documentation, and ongoing process improvements to strengthen engineering standards and team efficiency.
• Enhance reliability, scalability, and performance across Snowflake and GCP through strong engineering discipline and cloud best practices.

• 7+ years of experience in data engineering, data architecture, or related technical roles.
• Deep hands‑on expertise with Snowflake, including performance tuning, data modeling, security, and pipeline optimization.
• Strong experience with Google Cloud Platform (GCP) data services such as Pub/Sub, Dataflow, Cloud Composer, Cloud Storage, and Big Query.
• Experience working within Agile environments using tools like Jira and Service Now.
• Background in enterprise‑grade data integration, including streaming or messaging systems such as Google Pub/Sub or comparable platforms.
• Working knowledge of Power BI, Sigma, or similar tools to support self‑service analytics.
• Familiarity with Python for data transformations, automation, and collaborating with engineering partners.
• Enthusiasm for AI‑assisted development and experimentation with tools such as Claude Code, Codex, GPT‑5, Climb, Kizer, or Cursor to enhance productivity.