Lead Data Engineer at Galaxy

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Aug, 26

Salary

200000.0

Posted On

24 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, AWS, Databricks, Spark, dbt, Airflow, Data Modeling, Distributed Systems, CI/CD, Streaming Data Pipelines, Batch Data Pipelines, Postgres, SQL Server, Technical Leadership, System Architecture

Industry

Financial Services

Description

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. 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 senior, hands-on data engineer with 8+ years of experience designing, building, and operating production data platforms at scale — and you're ready to lead. You set the technical direction for data infrastructure, mentor other engineers, and raise the bar for engineering quality across the team. You're fluent in Python or Java and deeply experienced across the modern data stack — AWS, Databricks/Spark, dbt, and Airflow. You care about data quality, write clean and well-tested code, and own systems end-to-end from architecture through production. You're curious about crypto and energized by working at the intersection of finance and emerging technology. What You’ll Do: Set the technical vision and roadmap for Galaxy's data platform, partnering across business lines (Trading, Custody, Asset Management, Mining) to deliver reliable, scalable infrastructure Architect, build, and operate scalable batch and streaming data pipelines, owning them from design through production 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 Mentor and develop other engineers, lead code reviews, and raise the bar for engineering quality across the team Drive technical design discussions and decisions across teams, and continuously improve system performance, scalability, and reliability Own production reliability — lead incident response, root-cause analysis, and long-term remediation Partner with product, analytics, and infrastructure teams to deliver impactful data solutions aligned to business priorities What We’re Looking For: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 8+ years of professional experience in data engineering or distributed systems, including time spent in a technical leadership or staff-level role Expert hands-on coding experience in Python, Java, or similar languages Proven track record of leading the design and delivery of large-scale data platforms in production Experience building and operating both batch and streaming data pipelines Deep experience with AWS, Databricks/Spark, and modern data architectures (lakehouse, streaming, real-time analytics) 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) Strong working knowledge of CI/CD, testing frameworks, and monitoring/observability tools Experience mentoring engineers and influencing technical direction across teams Bonus Points: Experience with dependency injections frameworks, ideally: Spring, Guice, HK2 Experience with Docker 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 Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us on our mission to engineer a new economic paradigm. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $100,000—$200,000 USD 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

Set the technical vision and roadmap for the data platform while architecting scalable batch and streaming pipelines. Lead and mentor other engineers to ensure high engineering quality and production reliability across the organization.