Data Warehouse Manager

Overview: We’re seeking a hands-on Data Engineering Manager to manage a small team (3–4 engineers) while contributing directly to the design, development, and evolution of our data platform. This is a “player-coach” role—ideal for someone who enjoys leading people, mentoring early-career talent, and staying close to the technology.What You’ll DoLead and mentor a team of data engineers, including junior team members and recent graduatesOversee day-to-day operations of the data warehouse and data pipelinesWrite SQL and build/maintain ETL workflows (primarily in SnapLogic)Evaluate and introduce new tools, technologies, and architectural improvementsEnsure performance, reliability, and scalability of the data warehouse (AWS Redshift)Manage data marts, backup strategies, and data quality standardsPartner with business stakeholders to translate requirements into data solutionsWhat We’re Looking For5–6 years of experience in data engineering or data warehousing, with some leadership or team lead experienceStrong SQL skills and experience with traditional data warehouse concepts (e.g., star schemas, Type 1/2 dimensions)Experience with cloud data platforms, especially AWS (Redshift, S3)Familiarity with ETL/ELT tools such as SnapLogic or MatillionStrong communication skills and a collaborative, customer-oriented mindsetExperience working with large ERP systems (e.g., Workday) is a plusHigher education industry experience is a plus, but not requiredEnvironmentAWS Redshift (data warehouse)PostgreSQL (operational data store)S3 (data landing/storage)SnapLogic & Matillion (ETL/ELT tools, moving toward SnapLogic standardization)