Director of Engineering

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September 6

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Colibri Group

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Education • B2B • Finance

Colibri Group is a leader in the field of professional education, dedicated to helping individuals advance and adapt in their careers. The company provides first-class learning experiences tailored to various professions, including real estate, healthcare, financial services, teaching, valuation, and accounting. Colibri Group prides itself on a holistic approach to professional learning, offering engaging educational programs, mentorship opportunities, and resources that align with the interests and goals of its students. Through its programs, Colibri Group empowers millions of professionals to achieve their career objectives and thrive in various industries.

1001 - 5000 employees

📚 Education

🤝 B2B

💸 Finance

📋 Description

• Develop and execute a multi-year data and platform strategy that accelerates AI/ML adoption, modernizes data infrastructure, and supports enterprise-scale analytics. • Champion an AI-first culture by identifying and enabling opportunities for predictive analytics, machine learning, and generative AI within the data platform. • Establish data governance, security, and compliance frameworks to ensure data is trusted, ethical, and compliant with regulatory requirements. • Collaborate with senior leadership across engineering, product, and business teams to align on priorities, outcomes, and investments in data platforms. • Define and enforce best practices for the development, automated testing, deployment, and monitoring of data ingestion and transformation pipelines. • Drive standards for data mapping, transformation into analytics-friendly schemas, and rigorous validation processes to ensure data accuracy and reliability. • Ensure platform reliability, performance, and 100% environment uptime through proactive monitoring and continuous improvement. • Partner closely with Scrum Masters and the Data Insights team for story refinement, sprint planning, and delivery. • Maintain strong communication channels with internal and external stakeholders to provide transparency, manage expectations, and accelerate outcomes. • Stay abreast of industry trends and emerging technologies (cloud, data mesh, streaming, real-time analytics, AI/ML, generative AI) to proactively identify opportunities for innovation. • Partner with vendors and technology providers to evaluate and adopt tools that accelerate data platform capabilities. • Lead, mentor, and grow a high-performing Data Engineering team as a “player/coach”—balancing strategic leadership with hands-on technical contribution. • Build a culture of innovation, learning, and continuous improvement where engineers are empowered to experiment with emerging data and AI technologies. • Break down complex initiatives into actionable workstreams, ensuring clarity of ownership, timelines, and deliverables.

🎯 Requirements

• 7+ years of SDLC experience in ETL/ELT environments using tools such as Fivetran, dbt, SQL, AWS Redshift, Boomi, PowerBI, Git. • 7+ years designing and optimizing schemas for analytical and AI/ML workloads. • 7+ years of hands-on experience with AWS Cloud services (AWS Glue, AWS Lambda, Python, etc.). • Familiarity with ERP and CRM systems (Salesforce, NetSuite, Hubspot, Eloqua). • 7+ years in a people leadership role managing and scaling high-performing Data Engineering teams. • Proven track record of delivering successful, enterprise-grade data and platform initiatives. • Strong background in modern SDLC, CI/CD, and data platform best practices. • Ability to thrive in a fast-paced, agile environment, managing multiple priorities simultaneously. • Strategic thinker with strong analytical and problem-solving skills; able to make data-driven decisions and inspire teams to do the same.