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Galaxy Digital is seeking a Data Engineering Manager to lead their Data Engineering team, focusing on building scalable data platforms and mentoring engineers in a fast-paced environment.
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.
- Partner across Galaxy’s business lines (Trading, Custody, Asset Management, Mining) to build and enhance a reliable and scalable data platform
- Drive execution of the data engineering roadmap in alignment with business priorities
- Lead and mentor a team of data engineers, supporting their growth and ensuring high-quality delivery
- 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
- Establish and enforce best practices around code quality, testing, CI/CD, monitoring, and reliability
- Collaborate closely with product, analytics, and infrastructure teams to deliver impactful data solutions
- Contribute to technical design decisions and continuously improve system performance and developer productivity
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 8+ years of experience in data engineering or distributed systems
- 4+ years of experience managing or mentoring engineers
- Strong hands-on experience with AWS, Databricks/Spark, and modern data architectures
- Experience building and operating both batch and streaming data pipelines
- Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration
- Solid understanding of data modeling, data quality, and production data systems
- Competitive base salary and discretionary bonus
- Competitive paid time off
- Great office location in central Mumbai (BKC)
- Company-paid health and protective benefits for employees and their eligible dependents
- Free virtual coaching sessions through Headspace
- Opportunities to learn about the Crypto industry
- Smart, entrepreneurial, and fun colleagues