Lead Data Engineer

Join Coast, a fast-growing startup, as the Lead Data Engineer. In this role, you will shape the company's data culture and infrastructure, driving the evolution of our modern, cloud-native data platform. You will lead a small, high-leverage team and make a significant impact on our understanding of risk, customer acquisition, and product development. You will report directly to the Head of Engineering and work from our NYC office.

• Lead the design and implementation of all aspects of the data ecosystem, from obtaining third-party data to building data products.
• Establish a vision for the data ecosystem evolution while satisfying the day-to-day demands of a rapidly growing startup.
• Oversee the connected SaaS data landscape, own the budget for the data infrastructure, and develop a sensible cost allocation model.
• Have experience working directly with product engineers as well as business users
• Be able to figure stuff out - the modern data space is deep and complex, and there are many ways of solving the same problem; you need to be able to go off on your own, research and design a solution, implement technical spikes, and then deliver it through responsible change management
• Be proficient in Python, since you would be expected to contribute data platform aspects into product engineering code as well as write your own tools
• Have an owner mindset and continuously look for, notice, and implement improvements to our data infrastructure, because small continuous improvements matter
• Work from our NYC SoHo office at least four days a week
• Have 7-10+ years hands-on experience working across the data ecosystem, from modern ETL/ELT and orchestration to data warehouses and columnar stores, from BI tooling for less-technical business users to SQL optimization
• Bring in a strong professional network, since it is impossible to know everything, and one must be able to tap others for advice
• Be a thought-leader that keeps a finger on the pulse of the industry - vendor landscape, industry trends
• Have software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CICD, and observability