Lead Data Engineer

United States·New Yorklead

Data EngineerData

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Quick Summary

Key Responsibilities

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,

Requirements Summary

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,

Technical Tools

Data EngineerData

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.

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.

Responsibilities

~1 min read

→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

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

Requirements

~2 min read

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.