Build the future of the AI Data Cloud. Join the Snowflake team.
We are seeking a skilled Data Platform Engineer to join our dynamic team at Snowflake. As a Data Platform Engineer, you will play a critical role in developing and maintaining our data platform used by data teams across the organization. The ideal candidate will have 6-8 years of experience in data engineering and a strong proficiency in SQL, Python, Snowflake, Airflow, Docker & Kubernetes.
Key Responsibilities:
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Design and Develop Data Platform Tools: Collaborate with cross-functional teams to design, develop, and maintain data platform tools and infrastructure components using cutting-edge technologies such as Kubernetes, Docker, and Airflow.
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Optimize Data Pipelines: Implement efficient data pipelines to ingest, transform, and load data into Snowflake using SQL and Python, ensuring high performance and reliability.
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Monitor and Maintain Data Platform: Monitor the health and performance of data platform tools and infrastructure, proactively identifying and resolving issues to ensure maximum uptime and reliability.
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Automate Deployment Processes: Implement automation scripts and tools to streamline the deployment and configuration of data platform components using Kubernetes and Docker.
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Collaborate with Data Teams: Work closely with data engineering, data science, and analytics teams to understand their requirements and provide support in leveraging data platform tools effectively.
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Ensure Security and Compliance: Implement security best practices and ensure compliance with data governance policies and regulations across all data platform components.
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Documentation and Knowledge Sharing: Document technical designs, procedures, and best practices, and actively participate in knowledge sharing sessions to facilitate cross-team collaboration and learning.
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Product Mindset: A strong focus on delivering high-quality products that meet the needs of internal stakeholders and customers.
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Fast-Paced Environment: Ability to thrive in a fast-paced, dynamic environment.
Qualifications:
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Bachelor's degree in Computer Science, Engineering, or a related field.
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6-8 years of experience in data engineering or related roles.
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Strong proficiency in SQL and Python for data manipulation and scripting.
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Experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes.
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Experience with workflow management tools like Airflow for orchestrating complex data pipelines.
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Hands-on experience with Snowflake or other cloud data warehouse platforms is highly desirable.
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Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed, cloud-based environment.
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Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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What We Do
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com.
Why Work With Us
We’re at the forefront of the AI data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
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