Data Platform Engineer

Role Overview

We are looking for a Data Platform Engineer with 3-6 years of experience to support the design, operation, and improvement of a modern data platform. You will work with Snowflake and related data engineering tools to enable high-quality, secure, and well-governed data consumption for analysts, data scientists, and business stakeholders. This is a hands-on role focused on reliability, access patterns, and platform enablement.

Key Responsibilities

- 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.

How You Will Do It

- Own the outcome with accountability by delivering reliable, secure, and well-controlled platform services.
- Stay close to the work by understanding how analysts, data scientists, and business teams actually use the platform.
- Look for root causes, improve the platform continuously, and address issues with candor and practical problem-solving.
- Work as one team by partnering across technical and business groups, sharing context, and building trust.
- Balance speed and control so the platform remains useful, safe, and maintainable as demand grows.
- Use clear documentation and disciplined operating practices to support consistency and handoffs.

Qualifications

- 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.