Data Architect

Summary

Join MindGym as a Senior Data Architect / Lead Data Engineer and play a pivotal role in shaping the future of data. This senior, autonomous role offers the opportunity to design and deliver a company-wide data platform and strategy. You will own the end-to-end data infrastructure, manage the Snowflake warehouse and AWS S3 data lake, and build internal-facing reporting tools. The position requires collaboration with cross-functional teams to ensure data aligns with business needs and involves defining and enforcing data governance and security best practices. You will leverage your expertise in AWS, Snowflake, Python, and modern DevOps practices to translate business needs into scalable data systems. This is an ideal opportunity for a senior data engineer seeking a more strategic, high-impact role.

Requirements

• You’re a senior data engineer ready for a bigger challenge
• You’ve delivered or led company-wide data solutions before
• You’re fluent in AWS, Snowflake, Python, and modern DevOps practices
• You love translating business needs into clean, scalable data systems
• You’re confident engaging with stakeholders across technical and non-technical teams
• You work well independently, with a solution-focused mindset

Responsibilities

• Own our end-to-end data infrastructure, from architecture to delivery
• Design and maintain robust, automated ETL/ELT pipelines
• Manage our Snowflake warehouse and AWS S3 data lake
• Build internal-facing reporting tools (e.g., Streamlit) that make data accessible
• Define and enforce data governance and security best practices
• Act as a trusted data advisor to senior leadership
• Partner with cross-functional teams to ensure data aligns with real business needs
• Use tools like Terraform, dbt, GitHub Actions, and Python in a modern, cloud-native environment

Preferred Qualifications

Experience in fast-paced, high-autonomy environments is a plus