Data Platform Engineer

Overview

Support the design, operation, and improvement of a modern data platform built on Snowflake and related data engineering tools, enabling governed, secure data consumption for analysts, data scientists, and business stakeholders. This is a hands-on role focused on reliability, access patterns, and platform enablement.

What you'll do

• Design, build, and operate a secure and scalable data platform in Snowflake.
• Support governed data consumption by implementing reliable structures, access patterns, and platform controls.
• Collaborate with data consumers to understand needs and remove friction in how they access and use data.
• Develop and maintain data pipelines, transformations, and supporting workflows for analytics use cases.
• Implement secure access patterns for humans, applications, and AI-driven tools.
• Monitor platform health, troubleshoot issues, and improve performance, stability, and usability.
• Support the Posit (RStudio) platform used by data scientists and advanced analysts.
• Document platform processes, data workflows, and operational standards.
• Work closely with analytics, engineering, and business teams to support data quality and platform adoption.

What you'll need

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
• 3-6 years of experience in data engineering, data platform engineering, or a closely related role.
• Hands-on experience with Snowflake and modern cloud data platform concepts.
• Strong SQL skills for data manipulation, validation, and troubleshooting.
• Experience building or supporting data pipelines, transformations, or analytics data models.
• Working knowledge of data governance, secure access, and data quality practices.
• Experience collaborating with technical and non-technical stakeholders.
• Strong documentation, communication, and problem-solving skills.

Nice to have

• Experience with Posit (RStudio), Python, or other analytics development environments.
• Exposure to Azure Data Factory, Fivetran, Snowpark, dbt, or Airflow.
• Experience supporting workforce analytics or other business intelligence environments.
• Familiarity with CI/CD practices, Git, or Azure DevOps.
• Exposure to secure access patterns for application, service, or AI-based data consumption.