Lead Data Engineer

Unchain Data

New York, New York, United States

New York, New York, United States

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À propos

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
Requirements
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
Nice to Have
Experience with dependency injection 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
Base Salary Range $220,000 – $230,000 USD
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New York, New York, United States

Compétences linguistiques

English

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