Data Warehouse Manager

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 Do Lead and mentor a team of data engineers, including junior team members and recent graduates Oversee day‑to‑day operations of the data warehouse and data pipelines Write SQL and build/maintain ETL workflows (primarily in SnapLogic) Evaluate and introduce new tools, technologies, and architectural improvements Ensure performance, reliability, and scalability of the data warehouse (AWS Redshift) Manage data marts, backup strategies, and data quality standards Partner with business stakeholders to translate requirements into data solutions What We’re Looking For 5–6 years of experience in data engineering or data warehousing, with some leadership or team lead experience Strong 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 Matillion Strong communication skills and a collaborative, customer‑oriented mindset Experience working with large ERP systems (e.g., Workday) is a plus Higher education industry experience is a plus, but not required AWS Redshift (data warehouse) PostgreSQL (operational data store) SnapLogic & Matillion (ETL/ELT tools, moving toward SnapLogic standardization) #J-18808-Ljbffr The Intersect Group