Data Platform Engineer

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure.

As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

At Gemini, our Data team is the engine that powers insight, innovation, and trust across the company. We bring together world‑class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting‑edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products.

We thrive at the intersection of crypto, technology, and finance, and we’re united by a shared mission: to unlock the full potential of Gemini’s data to drive growth, efficiency, and customer impact.

The Data Platform Engineering team provides the foundation upon which all analytics, ML, and data‑driven products are built. As a Staff Data Platform Engineer, you will own and evolve our data warehouse infrastructure (Databricks, AWS resources, storage layers, orchestration tools, and security). You will lead efforts in cost optimization, governance, access management, and tooling — ensuring that our data platform is scalable, reliable, secure, and cost‑efficient.

This is a senior IC role where you will influence architectural direction across the data org, mentor other engineers, and drive best practices in platform engineering and governance.

This role is required to be in person twice a week at either our New York City, NY or San Francisco, CA office.

• Own the design, build, and operate data infrastructure, including Databricks & AWS
• Define standards for storage, compute, orchestration, and metadata management to support analytics, data engineering, and ML use cases
• Lead architecture and design for cross‑team data platform initiatives, ensuring scalability, resiliency, and performance
• Monitor & forecast data platform infrastructure and costs, proactively identifying opportunities for workload optimizations
• Partner with security, compliance, and legal teams to meet regulatory requirements and enforce data governance policies
• Implement and manage fine‑grained access management, role‑based access control (RBAC), attribute‑based access control (ABAC), and row/column‑level security
• Drive adoption of metadata management, catalogs, and lineage tooling
• Build reusable tooling and frameworks for data engineers and analysts (e.g., templated pipelines, schema migration tools, observability dashboards)
• Partner with SREs / Dev Ops to harden environments and implement disaster recovery
• Serve as a technical leader and subject matter expert across the data org, influencing standards and best practices
• Mentor senior data platform engineers, conduct design and code reviews, and guide cross‑functional platform initiatives

• 8+ years of experience in data engineering, platform engineering, or infrastructure engineering, with at least 3+ years focused on platform‑level responsibilities
• Strong hands‑on experience with Databricks (clusters, jobs, delta lake, Unity Catalog) and AWS data services (S3, Glue, EMR, Athena, IAM)
• Deep knowledge of data warehouse and lakehouse architectures (Airflow, ETL, Delta, Parquet)
• Strong programming experience with Python, SQL, and infrastructure‑as‑code frameworks
• Proven track record in cost optimization, spend visibility,…