Staff Data/Database Platform Engineer (Postgres)
Remote (USA)
About the Company
Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.
Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency.
At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.
The Department: Platform
The Data Platform Engineering team plays a crucial role in building, scaling, and maintaining the data infrastructure, with a focus on reliability, availability, and performance. Working closely with Engineering and Platform, Data Platform Engineering ensures a robust foundation for developing and scaling data-driven products and solutions. This includes implementing advanced scaling strategies for database systems and maintaining core infrastructure components such as streaming, and real-time/batch processing tools. These efforts support a resilient, high-performing platform that enables the organization to react to changing conditions with minimal downtime and maximum efficiency.
The Role: Staff Data/Database Platform Engineer
As a Staff Data Platform Engineer, you're a part of the Data/Database Platform Engineering Team and you’ll be instrumental in leading building, scaling, and maintaining our data infrastructure with a focus on architecture, reliability, availability, and performance. This role will work closely with both 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 be 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 ensure they meet the high availability and scalability needs of data and product engineering teams.
- Availability and Uptime Management: Proactively monitor and optimize database systems to meet stringent uptime requirements. Participate in an on-call …
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Alerting Architecture Automation AWS Bash Benefits BigQuery CI/CD Cloud Collaboration Communication Compensation Crypto Cryptocurrency Database technologies Databricks Data engineering Data Infrastructure Data Pipelines Data processing Data Warehousing Documentation Engineering ETL ETL pipelines Incident Response Infrastructure Infrastructure as Code Kafka Message queues Monitoring Monitoring tools Organization Performance Tuning Platform Engineering Postgres Programming Python React Real-time processing Redshift Reliability Engineering Response Snowflake SQL Unstructured data Web3 Workday
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