Lead Data Platform Engineer/Architect

About Niche

Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply.

Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally.

About The Role

We are looking for a Lead Data Platform Engineer / Architect who would provide their deep expertise and technical leadership as we build the next generation of Niche’s data platform. You’ll lead the architecture and development of a scalable data platform and capabilities that can handle the volume and complexity of data while ensuring data accuracy, availability, observability, security, and optimum performance. You’ll be developing and maintaining our centralized, governed, and certified data models and source of truths (DW) for consistent reporting internally and externally. You’ll also be instrumental in building out a scalable data sharing architecture for our partners to power our data licensing product. The ideal candidate will be a technical expert with solid experience and wins under their belt in building, improving and supporting large scale data platforms. This role will report to the Head of Data Engineering.

What You Will Do

During the First Month:

•  Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
•  Build strong relationships with data engineering  team members, understand the day to day operating model, and stakeholders that we interact with on a daily basis.
•  Begin discussions to understand our data platform vision, and key challenges. Develop early ideas towards the architecture of our platform.

Within 3 Months:

•  Complete a detailed assessment of the current state of our data platform that covers tech stack, data architecture, security, quality, and design of pipelines.
•  Deliver first versions of the data platform engineering  best practices, and standards documentation for the data engineering team; ensure in line with wider engineering standards.
•  Identify areas for improving data platform engineering processes and streamline data pipelines, making them more efficient.
•  Incinitial data quality tooling and framework …