VP, Data Engineer

Who You Are:

You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology.

What You’ll Do:

• Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously
• Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales
• Operate Kafka as the message broker powering cross-team event-driven architecture
• Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes
• Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS
• Support dbt for transformations and Airflow (or similar) for orchestration across the platform
• Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements
• Troubleshoot production issues and drive the fixes
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years building data or platform engineering systems in production
• Strong coding skills in Python or Java
• Experience operating production data platforms on AWS and supporting downstream teams who build on them
• Hands-on with Kubernetes and Terraform
• Experience running Kafka (or a similar broker) in event-driven systems
• Working knowledge of Databricks/Spark, dbt, and Airflow
• Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server)
• Comfortable with CI/CD, testing frameworks, and observability tooling

Bonus Points:

• Experience with dashboarding technologies
• Experience with streaming engine (flink, kdb)
• Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
• Experience in Crypto

What We Offer:

• Competitive base salary and discretionary bonus
• Company-paid health and protective benefits for employees and their eligible dependents
• Free virtual coaching and counseling sessions
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

Apply now and join us on our mission to engineer a new economic paradigm.

Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.