VP, Data Engineer (KDB Developer)

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.

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.

This is an exciting opportunity to join and help grow Galaxy’s data engineering team in Mumbai at the start of building a next-gen, real-time, cloud-native analytics platform which is powered by kdb+ technology and AI-driven analytics. You will be working in a collaborative startup-like environment with data assets that span digital and traditional finance products, services and markets.

• →Ensure stability and quality of real-time ingestion processes
• →Build and support kdb Insights (or KDB-X) modules, packages and pipelines processing billions of real-time messages daily
• →Develop performant queries and functions to support business activities across various trading desks
• →Build SRE tools focusing on proactive detection of performance bottlenecks across the platform’s core q, Python and Java processes running 24x7 in AWS

• 5+ years of core kdb+/q development
• Practical experience in developing, deploying and supporting large-scale kdb+ platforms, preferably in AWS
• Hands-on experience with kdb Insights, including advanced usage of microservices and development of packages, pipelines and UDAs (user-defined analytics)
• Hands-on experience with Kubernetes services in AWS
• Development experience using Python data processing libraries and PyKX

• Exposure to building Datadog dashboards with kdb metrics
• Experience with integrating kdb+ with enterprise lakehouses, specifically Databricks
• Experience using AI coding agents in development, testing, release and SRE lifecycles
• Experience in working with crypto products, markets and data