Director of Engineering Data and Platforms at Colibrigroup

At Colibri, we believe that culture is the foundation of our collective success. We live by our core values of love, joy, boldness, teamwork, and curiosity every single day. These principles guide how we interact with one another, our customers, and the communities we serve. As a pioneer in online professional education since 2001, we have grown into a family of leading brands that support more than one million customers every year. With over 1,500 mission-aligned professionals on our team, we are dedicated to shaping the future of learning and professional development.

The role

We are looking for a Director of Engineering for Data and Platforms to join our team in a full-time, remote capacity. This is a lead-level position for an experienced professional who is ready to guide our data engineering organization toward designing and delivering intelligent, scalable platforms. You will serve as a strategic partner to our product and business leaders, ensuring that our data infrastructure fuels the next generation of our company growth. We are seeking a leader who balances high-level strategy with hands-on technical contribution to drive our AI-first vision.

Core responsibilities

• Develop and execute a multi-year data strategy that modernizes our infrastructure and accelerates the adoption of machine learning and generative AI across the enterprise.
• Lead, mentor, and grow a high-performing team of data engineers while fostering a culture of innovation, continuous improvement, and technical excellence.
• Establish robust data governance, security, and compliance frameworks to ensure our data remains trusted, accurate, and reliable for all stakeholders.

Skills and experience

To succeed in this role, you should possess the following qualifications:

• At least 7 years of experience in the full software development lifecycle, specifically within ETL/ELT environments using tools such as Fivetran, dbt, SQL, AWS Redshift, Boomi, PowerBI, and Git.
• 7 or more years of hands-on experience with AWS Cloud services, including AWS Glue, AWS Lambda, and Python.
• 7 or more years of experience in a leadership role, managing and scaling high-performing engineering teams.
• Extensive background in designing and optimizing schemas for complex analytical and AI/ML workloads.
• Familiarity with enterprise systems such as Salesforce, NetSuite, Hubspot, or Eloqua.
• A proven track record of delivering enterprise-grade data initiatives in a fast-paced, agile environment.

Compensation and benefits

We are committed to supporting our team members through flexible work arrangements, including the ability to work remotely from anywhere.

How to apply

We welcome applicants from all backgrounds and experiences. We understand that you might not meet every single requirement listed, and that is perfectly okay. If you are excited about this mission and believe you have the skills to contribute to our team, we encourage you to apply. We are dedicated to building an inclusive workplace and look forward to hearing from you.