Colibri Group

Director of Engineering

Colibri Group

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Lead

Tech Stack

Amazon RedshiftAWSCloudERPETLPythonSDLCSQL

About the role

  • 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.