Summary
Join Gemini as Head of Data and shape the way we approach data to drive business growth. You will lead a high-performance team, build and manage a 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.
Requirements
- 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
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
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
Benefits
- 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
