VP, Data Engineer

Who We Are

Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.

The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.

Additional information about Galaxy's businesses and products is available on www.galaxy.com .

What We Value

We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.

- Seek Excellence.
- Be Selective To Be Effective.
- Be Highly Aligned, Loosely Coupled.
- Disagree Transparently.
- Encourage Independent Decision-Making.
- Build Dream Teams.

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.

*Benefits may vary depending on location.

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.

We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Responsibilities

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; Troubleshoo t 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.

Requirements

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

Nice to have

Experience with d ashboarding 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

Benefits

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