Data Engineer

• Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.
• Drive innovation by adopting modern engineering practices, AI-assisted development, and automation to continuously improve the data platform and accelerate delivery.
• Design, build, and optimize incremental data integration pipelines with a strong focus on data quality, performance, scalability, and cost efficiency.
• Implement and maintain data security controls, support audit and compliance requirements, and monitor platform usage and costs.
• Collaborate closely with Engineering, Product, and Operations teams to deliver reliable, scalable data solutions.

• Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
• Lead system-wide architectural decisions, focusing on data flow, performance, and resilience. Actively contribute to the codebase with high quality code.
• Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs. Champion best engineering practices, code quality, testing and maintainability.
• Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers

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Data Engineer

Principal Data Engineer