Ramp Talent · 4 hours ago
Director of Engineering - Data & Platform
Colibri Group is a pioneer in online professional education, seeking a Director of Engineering – Data & Platforms to lead their Data Engineering organization. This role involves designing and delivering scalable data platforms, driving AI/ML adoption, and ensuring data governance and compliance across the enterprise.
Responsibilities
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
Qualification
Required
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