VP, Data Engineer

Unchain Data; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive base salary

Health benefits for employees and deps

Professional development opportunities

Collaborative team culture

Job summary

Galaxy Digital Inc. is seeking a seasoned data/platform engineer to build and operate production data platforms. You will own pipelines, monitoring, and dataops practices, with a focus on reliability and scalable infrastructure across AWS and Kubernetes.

You’ll work with Kafka, Databricks/Spark, dbt, and Airflow to transform data and support cross-team analytics and product initiatives. Strong coding in Python or Java is essential.

Qualifications

• 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.
• Hands-on with Kubernetes and Terraform.
• Experience running Kafka in event-driven systems.
• Working knowledge of Databricks/Spark, dbt, and Airflow.
• Solid grasp of data modeling and databases (Postgres, SQL Server).
• Comfortable with CI/CD, testing frameworks, and observability tooling.

Responsibilities

• Build and maintain tooling and infrastructure enabling data pipelines.
• Own monitoring, alerting, and dataops practices for scale.
• Operate Kafka as the message broker for cross-team events.
• Deploy and maintain infrastructure components with Terraform and Kubernetes.
• Run high-throughput processing on Databricks/Spark and cloud services on AWS.
• Support dbt for transformations and Airflow for orchestration.
• Collaborate with product, analytics, and infrastructure teams on platform improvements.
• Troubleshoot production issues and drive fixes.
• Champion AI adoption to improve team performance and outcomes.
• Leverage AI tools to boost productivity and decision-making.

Tools

AWS

Kubernetes

Terraform

Kafka

Databricks/Spark

dbt

Airflow

Job description

About Us

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.

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.

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

Benefits may vary depending on location.