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