Director of Engineering - Data & Platform

Ramp Talent • St. Louis, MO

1d

About The Position

Our client, Colibri Group is looking for a Director of Engineer, Data & Platforms. Details below... Position Overview: The Director of Engineering – Data & Platforms will lead our Data Engineering organization to design and deliver trusted, scalable, and intelligent data platforms. This leader will architect and implement high-quality data ingestion pipelines that seamlessly move and transform data from SaaS applications and in-house transactional systems into a unified data platform. This foundation will power reporting, advanced analytics, and AI/ML solutions—including Generative AI—enabling actionable insights across the business. With an AI-first mindset, this role goes beyond data delivery to drive the strategic adoption of modern data technologies, automation, and machine learning capabilities across the enterprise. The Director will champion a culture of innovation, data quality, and platform thinking while ensuring operational excellence and reliability Reporting to the VP of Engineering, the Director is a strategic partner to product, engineering, and business leaders, shaping how data and platforms fuel the next generation of business growth.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed
• Number of Employees: 1-10 employees