Staff Data Engineer

GameChanger is hiring a Staff Data Engineer to set technical direction and build scalable data platforms that support analytics and operational needs. The role leads cross-functional initiatives, strengthens data systems, and advances AI-assisted development and self-service analytics.

Responsibilities:

• Set multi-quarter technical direction for the data platform, in partnership with the Data Engineering Manager. Turn project ideas into execution plans and drive clarity and alignment on scope on large ambiguous cross-functional projects
• Build relationships and regularly meet with technical and non-technical partners to support their goals and understand where your intervention is a priority. Lead advocacy conversations/training to influence adoption
• Architect and build scalable, robust and efficient data platforms serving analytic and operational needs across the organization. Review relevant specs and PRs across the company to influence strong design decisions
• Champion the changes that will enable AI-assisted self-service analytics and AI-assisted development
• Improve existing systems' performance, observability, reliability, and scalability, identifying new infrastructure and software patterns as needed
• Raise the bar for the company. Share your knowledge through technical documentation, code reviews, tech talks, mentoring, and proposing new standards
• Take part in DE’s on-call rotation. Debug and troubleshoot complex problems across multiple systems and services

Requirements:

• 8+ years building data or backend systems, including experience with leading technical work that spans multiple teams
• Expertise with AI-assisted software development
• Expertise in Python for data pipelines and maintainable production software
• Expertise with SQL and cloud data warehousing in Snowflake or BigQuery
• Experience building software systems, or partnering closely with the teams who do
• Proficient with containers and orchestration tools, preferably Airflow
• Proficient with IaC tools like Terraform
• Proficient with K8s/Kafka and streaming data pipelines
• Proficient with cloud computing services such as AWS, Google Cloud, or Azure
• Prior experience with building CDC platforms, front-end behavior tracking, MLOps platforms, or AI self-service tooling