Vice President, Data Engineer

## Who We Are Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. To learn more about our businesses and products, visit [www.galaxy.com](http://www.galaxy.com/).

## What You’ll Do - Partner across Galaxy’s business lines (Trading, Custody, Asset Management, Mining) to build and enhance a reliable and scalable data platform - Design, build, and maintain scalable data pipelines (batch and streaming) - Develop and operate high-throughput, low-latency data processing systems - Work within the Databricks and Spark ecosystem to support large-scale data workloads - Build and maintain cloud-native data solutions on AWS - Leverage dbt for transformation, data modeling, testing, and documentation - Use Airflow (or similar orchestration tools) to manage and schedule data workflows - Write clean, efficient, and well-tested code, following best practices in software engineering - Collaborate closely with product, analytics, and infrastructure teams to deliver impactful data solutions - Contribute to technical design discussions and help improve system performance, scalability, and reliability - Support production systems by troubleshooting issues and implementing improvements - 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 of professional experience in data engineering or distributed systems - Strong hands-on coding experience in Python, Java, or similar languages - Experience building and operating both batch and streaming data pipelines - Strong experience with AWS, Databricks/Spark, and modern data architectures - Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration - Solid understanding of data modeling, data quality, and production data systems - Experience working with relational and non-relational databases (e.g., Postgres, SQL Server) - Familiarity with CI/CD, testing frameworks, and monitoring tools.

## What We Offer - Competitive base salary and discretionary bonus - Flexible Time Off (paid) - Hybrid Working Arrangements - Company-paid health and protective benefits for employees and their eligible dependents - Free coaching and counseling sessions through Headspace - Generous paid Parental Leave - Free daily snacks in-office and weekly lunches - Opportunities to learn about the Crypto industry - Smart, entrepreneurial, and fun colleagues - Employee Resource Groups *Benefits may vary depending on location.*

Galaxy Digital is a technology-driven financial services and investment management firm providing institutions and direct clients with comprehensive solutions across the digital assets ecosystem. The company operates two main business segments: Digital Assets (offering trading, asset management, lending, and advisory services) and Data Centers (developing AI and high-performance computing infrastructure).