Head of Data, Gemini

• 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
• 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

Desirable

• 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
• 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