Galaxy Digital
Lead Data Engineer
New York, NYFull-timeGlobal
đź’° USD 100,000 - 200,000/yr
📊 Senior🏠Hybrid
ActivePosted within the last 30 days
Job Description
[AI-summarized by JobStash]
You will design, build, and operate production data platforms at scale across multiple domains. You will mentor engineers, own end to end data architecture, and collaborate with product and analytics teams. You will ensure data quality, reliability, and performance and continuously improve the data infrastructure.
Requirements
- ●Bachelor’s or Master’s degree in Computer Science Engineering or related field
- â—Ź8+ years of professional experience in data engineering or distributed systems including time spent in a technical leadership or staff-level role
- â—ŹExpert hands-on coding experience in Python or Java
- â—ŹProven track record of leading the design and delivery of large-scale data platforms in production
- â—ŹExperience building and operating both batch and streaming data pipelines
- â—ŹDeep experience with AWS, Databricks/Spark, and modern data architectures (lakehouse, streaming, real-time analytics)
- â—ŹHands-on experience with dbt for transformations and Airflow (or similar) for orchestration
- â—ŹSolid understanding of data modeling, data quality, and production data systems
- â—ŹExperience working with relational and non-relational databases (e.g., Postgres, SQL Server)
- â—ŹStrong working knowledge of CI/CD, testing frameworks, and monitoring/observability tools
- â—ŹExperience mentoring engineers and influencing technical direction across teams
Responsibilities
- â—ŹSet the technical vision and roadmap for Galaxy's data platform partnering across business lines to deliver reliable scalable infrastructure
- â—ŹArchitect build and operate scalable batch and streaming data pipelines
- â—ŹDevelop and operate high throughput low latency data processing systems
- â—ŹWork within the Databricks and Spark ecosystem to support large scale data workloads
- â—ŹBuild and maintain cloud native data solutions on AWS
- â—ŹLeverage dbt for transformation data modeling testing and documentation
- â—ŹUse Airflow to manage and schedule data workflows
- â—ŹWrite clean, efficient, and well tested code following best practices in software engineering
- â—ŹMentor and develop other engineers lead code reviews and raise the bar for engineering quality
- â—ŹDrive technical design discussions and decisions across teams and continuously improve system performance scalability and reliability
- â—ŹOwn production reliability and lead incident response root cause analysis and long term remediation
- â—ŹPartner with product analytics and infrastructure teams to deliver impactful data solutions aligned to business priorities
Benefits & Perks
- â—ŹHybrid/Flexible Working Arrangements
- â—ŹFlexible Time Off (paid)
- â—Ź3% 401(k) company contribution
- â—ŹCompany-paid health and protective benefits for employees, partners, and other dependents
- â—ŹGenerous paid Parental Leave
- â—ŹCompetitive family planning benefits for US employees
- â—ŹOpportunities to learn about the Crypto industry
- â—ŹSmart, entrepreneurial, and fun colleagues
- â—ŹFree daily snacks and weekly breakfasts/lunches
- â—ŹEmployee Resource Groups
- â—ŹFree coaching and counseling sessions through Headspace
Tech Stack
pipelinesAWSAirflowdbtSparkarchitecturementoringJavaanalytics