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.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Data

The Role: Head of Data

As the leader, you’ll shape the way we approach data at Gemini by creating a strategic vision for how data can help drive our business growth. You will build and manage a high-performance machine learning, data engineering, platform, and analytics team and leverage your experience and communication skills to work across business teams to develop innovative data solutions. You will inspire and mentor a strong data team through your passion for data and its ability to transform decision-making and generate solutions for this new, exciting asset class. Communicating your insights and driving new product development across the organization is paramount to success. You will also be looked upon to share Gemini’s data vision and products externally.

Responsibilities:

Lead team responsible for scaling our data infrastructure and optimizing our warehouse’s 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 company’s 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

Minimum Qualifications:

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

Preferred Qualifications:

Experience in a fast-paced, high-growth environment, particularly in tech or a data-driven industry
Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or similar

It Pays to Work Here

The compensation & benefits package for this role includes:

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: The base salary range for this role is between $269,000 - $336,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

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.

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