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.

• 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 Snap Logic)
• 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

• 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 Snap Logic 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)
• Postgre
  
  SQL (operational data store)
• Snap Logic & Matillion (ETL/ELT tools, moving toward Snap Logic standardization)