Engineering Manager, Data Platform

About the Role As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners. What You’ll Do As an Engineering Manager, Data Platform, you'll be both a hands‑on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform. You'll own end‑to‑end solutions—from architecture and implementation to operations and optimization—while helping guide the long‑term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine‑grained access controls and consistent lineage. Design and implement core data models and pipelines that power analytics, ML, and product experiences Implement modern data lake orchestration patterns, including medallion architectures Architect and evolve a scalable, cost‑efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools Define best practices and technical standards that improve data quality, governance, and performance across teams Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning Shape the long‑term technical vision and roadmap for GlossGenius' data platform Qualifications 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems 1+ years of management or technical leadership experience is a plus Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse Experience implementing modern data orchestration patterns for big data use‑cases, including batch and streaming workloads Advanced proficiency in SQL and Python or Scala, including performance optimization and large‑scale ETL design Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams Comfort owning systems end‑to‑end, including monitoring, reliability, and cost management Excellent communication skills with the ability to translate technical trade‑offs to both engineers and non‑technical stakeholders Benefits Flexible PTO Competitive health & dental insurance options, with premiums covered by GG Generous, fully‑paid parental leave policy Retirement Savings Plan Professional Development - employees receive a yearly stipend for approved learning and educational‑related expenses Home office support Team Bonding opportunities - as a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year Equal Opportunity Statement At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affinitive Action Employer. Company Culture We’re a high‑growth startup looking to work with ambitious people with a history of exceptional performance. In two paragraphs or less, please share a specific example where you went above and beyond. #J-18808-Ljbffr