Staff Data Platform Engineer

Staff Data Platform Engineer – Nifty Gateway Studio Location: New York, NY and San Francisco, CA. Requires in‑person attendance twice a week at either hub. 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. The Department: Platform Our Platform organization’s purpose is to enable Gemini to scale effectively and empower our engineering teams to focus on building innovative financial products and experiences for individuals around the world. Platform focuses on building a scalable and secure foundations platform, enabling Engineering to deploy, validate, and operate their services in production, improve resiliency of the service and increase organizational efficiency by reducing operational toil and increase system efficiency through architectural evolution. The Platform team engages directly with our other engineering teams to onboard them onto our platform systems, reviewing and recommending design and architectural decisions, and guiding our engineering teams on how to implement the tooling provided by the larger Platform organization required to ensure systems can scale and react to changing conditions, with continuous improvement loops. The Role: Staff Data Platform Engineer As a Staff Data Platform Engineer, you’ll be part of the Data/Database Engineering Team and will be instrumental in leading the building, scaling, and maintaining our data infrastructure with a focus on architecture, reliability, availability, and performance. This role works closely with data engineering and product engineering teams, providing a robust infrastructure foundation that enables them to build, maintain, and scale data‑driven products and solutions. An immediate priority will involve implementing advanced scaling strategies for our relational database systems to support a highly scalable infrastructure. This role also requires a strong commitment to uptime and incident response, including participation in an on‑call rotation. You’ll bring expertise in database technologies (relational, columnar, document, key‑value, and unstructured) and familiarity with core data infrastructure components like message queues, ETL pipelines, and real‑time processing tools to support a resilient, high‑performing data platform. Responsibilities: Database Scaling and Optimization: Design and implement scaling strategies for relational systems to meet high availability and scalability needs. Availability and Uptime Management: Proactively monitor and optimize database systems to meet stringent uptime requirements; participate in an on‑call rotation to respond to incidents, troubleshoot issues, and restore service promptly. Architect and Optimize Database Infrastructure: Manage a variety of database technologies, balancing tradeoffs across relational, columnar, document, key‑value, and unstructured data solutions, providing a foundation for data warehousing and supporting data‑driven product needs. Integration with Data Engineering and Product Pipelines: Collaborate with data and product engineering teams to implement and optimize data pipelines, including message queues (e.g., Kafka), ETL workflows, and real‑time processing, ensuring efficient and reliable data movement. Infrastructure Automation and Reliability: Utilize infrastructure as code (IaC) to automate deployment, scaling, and maintenance, creating a consistent, reliable environment that supports high availability and deployment efficiency for both data and product teams. Performance Tuning and Incident Response: Conduct performance tuning, establish monitoring setups, and address potential issues quickly to ensure a responsive platform that meets the needs of all engineering workloads. Documentation and Knowledge Sharing: Document processes, including scaling strategies, monitoring setups, and best practices, to support alignment with engineering requirements and ensure smooth handoffs in on‑call situations. Qualifications: Deep expertise in data and storage technologies, including RDBMS (e.g., Postgres), NoSQL, and other database types (e.g., columnar, document, key‑value, and unstructured), Object Storage (S3), with a strong understanding of tradeoffs and use cases for each. Demonstrated experience with advanced database scaling strategies for relational systems. Strong knowledge of high‑availability architectures and proficiency with monitoring tools to support uptime and incident response. Experience with cloud‑based database and data processing platforms, such as Amazon Aurora, Databricks, AWS RDS, Redshift, BigQuery, Snowflake, and managed services like AWS EMR and Google Cloud Dataflow. Hands‑on experience with modern data transport and streaming platforms such as Kafka, Kinesis, and Pulsar, including building and operating real‑time data pipelines. Familiarity with traditional ETL workflows, scheduled batch pipelines, and message queuing systems (e.g., RabbitMQ, SQS), and how they integrate with streaming architectures. Strong programming skills (e.g., Python, Bash, SQL) and experience with CI/CD practices. Experience in an on‑call rotation and handling incident response. Excellent communication and collaboration skills, with a proven ability to work effectively with data and product engineering teams. Compensation & Benefits Package: Competitive starting salary A discretionary annual bonus Long‑term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range: $168,000 – $240,000 (state locations: New York, California, Washington). This range does not include discretionary bonus or equity. Hybrid Work Policy: In the United States, we offer a hybrid work approach at our hub offices, balancing in‑person collaboration with remote flexibility. Expectations vary by location and role; candidates are encouraged to connect with a recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of the remote workforce. Equal Employment Opportunity Statement: At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #J-18808-Ljbffr