Summary

The Role:

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:

1. Lead team responsible for scaling our data infrastructure and optimizing our warehouse’s performance
2. Lead design, architecture and implementation of best-in-class Data Warehousing and reporting solutions
3. Define and drive the vision for data management, analytics, and data culture
4. Collaborate with executive leadership to integrate data initiatives into business strategies
5. Oversee the design, development, and maintenance of the company’s data platform, ensuring scalability, reliability, and security
6. Lead and participate in design discussions and meetings
7. 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
8. Design, automate, build, and launch scalable, efficient and reliable data pipelines into production
9. Drive the development of advanced analytics, reporting solutions, and dashboards to provide actionable insights to stakeholders
10. Oversee design, development, and maintenance of ETL processes, data warehouses, and data lakes
11. Research new tools and technologies to improve existing processes
12. Implement best practices for data modeling, architecture, and integration across various data sources
13. Develop new systems and tools to enable the teams to consume and understand data more intuitively
14. Partner with engineers, project managers, and analysts to deliver insights to the business
15. Own responsibilities around root cause analysis, production and data issues such as validation

Minimum Qualifications:

1. 12-20+ years experience in data engineering with data warehouse technologies
2. 5-7+ years experience bringing a data infrastructure to the next level including the overhaul of data, pipelines, architecture and modeling
3. 10+ years experience in custom ETL design, implementation and maintenance
4. 10+ years experience with schema design and dimensional data modeling
5. Experience building real-time data solutions and processes
6. Experience building and integrating web analytics solutions
7. Experience with AI/ML tools and techniques, including experience deploying machine learning models in production
8. Strong knowledge of traditional and modern data tools and technologies, including SQL, Python, cloud platforms (AWS, Azure, GCP), and big data frameworks
9. Experience with AI/ML tools and techniques, including experience deploying machine learning models in production
10. Strong understanding of data governance, compliance, and security best practices
11. Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
12. Experience with one or more ETL tools(Airflow, AWS Glue, Informatica, Pentaho, SSIS, Alooma, etc)
13. Experienced building cross functional teams across different departments
14. Exceptional leadership, communication, and stakeholder management skills

Preferred Qualifications:

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

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.

Skills

• Analytical Thinking
• AWS
• Communications Skills
• Leadership
• Team Collaboration