Director of Products - Data & Engineering

TL;DR

Director of Products - Data & Engineering (Data Products/Engineering): Own the end-to-end lifecycle of data products on a modern Databricks platform with an accent on product-oriented delivery, data modeling, and enabling a data mesh approach. Focus on translating enterprise data strategy into scalable, trusted data products that power analytics, AI, and decision-making while leading and mentoring a team of data engineers.

Location: US - Remote

Company

hirify.global is an education technology company supporting universities with workforce-focused online degree programs.

What you will do

• Own the end-to-end lifecycle of data products from concept through delivery and continuous improvement
• Establish product-oriented ways of working (backlogs, prioritization, iteration, feedback loops)
• Enable a data mesh approach by supporting domain-aligned data ownership and trusted data products
• Lead delivery of scalable data products and platform capabilities, including data modeling and semantic layers
• Lead and mentor a team of data engineers and partner cross-functionally to deliver high-value data solutions
• Drive adoption of AI-assisted development and manage multiple initiatives with clear progress, risks, and dependencies

Requirements

• 8–12 years of experience in data engineering, data products, or software engineering
• 3–5 years leading teams and delivering initiatives
• Experience treating data as a product with strong product mindset and prioritization
• Strong data modeling and modern data practices experience
• Experience in data mesh or domain-based environments (preferred)
• Bachelor’s degree or equivalent practical experience

Culture & Benefits

• Remote work based in the US
• Hands-on technical leadership with a product-oriented approach to data
• Focus on scalable delivery practices and high-quality, trusted data products
• Emphasis on domain ownership and data mesh enablement
• Opportunity to drive AI-assisted development and modern engineering practices