Role overview
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.
What you'll work on
- Lead team responsible for scaling our data infrastructure and optimizing our warehouseâs performance
- Lead design, architecture and implementation of best-in-class Data Warehousing and reporting solutions
- Define and drive the vision for data management, analytics, and data culture
- Collaborate with executive leadership to integrate data initiatives into business strategies
- Oversee the design, development, and maintenance of the companyâs data platform, ensuring scalability, reliability, and security
- Lead and participate in design discussions and meetings
- Oversee the end-to-end management of our data ecosystem, ensuring data integrity, and driving data-driven decision-making across the organization including our products
- Design, automate, build, and launch scalable, efficient and reliable data pipelines into production
- Drive the development of advanced analytics, reporting solutions, and dashboards to provide actionable insights to stakeholders
- Oversee design, development, and maintenance of ETL processes, data warehouses, and data lakes
- Research new tools and technologies to improve existing processes
- Implement best practices for data modeling, architecture, and integration across various data sources
- Develop new systems and tools to enable the teams to consume and understand data more intuitively
- Partner with engineers, project managers, and analysts to deliver insights to the business
- Own responsibilities around root cause analysis, production and data issues such as validation
What we're looking for
- 12-20+ years experience in data engineering with data warehouse technologies
- 5-7+ years experience bringing a data infrastructure to the next level including the overhaul of data, pipelines, architecture and modeling
- 10+ years experience in custom ETL design, implementation and maintenance
- 10+ years experience with schema design and dimensional data modeling
- Experience building real-time data solutions and processes
- Experience building and integrating web analytics solutions
- Experience with AI/ML tools and techniques, including experience deploying machine learning models in production
- Strong knowledge of traditional and modern data tools and technologies, including SQL, Python, cloud platforms (AWS, Azure, GCP), and big data frameworks
- Experience with AI/ML tools and techniques, including experience deploying machine learning models in production
- Strong understanding of data governance, compliance, and security best practices
- Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
- Experience with one or more ETL tools(Airflow, AWS Glue, Informatica, Pentaho, SSIS, Alooma, etc)
- Experienced building cross functional teams across different departments
- Exceptional leadership, communication, and stakeholder management skills
Tags & focus areas
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