United States onlyWe have a rich and storied history. Colibri is one of the pioneers of online professional education,introducing some of the first web-based professional education courses in 2001. Today, the company’sfamily of brands are the leading online professional education platforms in their respective end-markets.We proudly to serve >1 million customers annually and employ more than 1,500 mission-alignedprofessionals. To learn more, please visit: www.colibrigroup.com
Position Overview:The Director of Data Engineering is responsible for leading the Data Engineering team to build trusted Data Ingestion Pipelines that seamlessly move and transform data from SaaS and in-house transactional databases to a Data Warehouse, enabling actionable business insights. The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis, and Generative AI.
This role requires a strong technical leader with effective communication and leadership skills to manage a data engineering team. It involves collaboration with cross-functional teams and the ability to play multiple roles depending on the situation. The candidate should have a strong bias for action, provide clarity to diverse stakeholders, and have a passion for removing roadblocks to progress.
The role reports directly to the Senior Director of Enterprise Architecture.
What You'll Do
- Accountable for implementation of best practices for development, automated testing, monitoring of data ingestion pipelines.
- Accountable for Data Mapping, Data Transformation to Analytics friendly structures and Data Validation.
- Accountable for Governance of standards and best practices within the Data Engineering Team.
- Manage a team of Data Engineers.
- Accountable for Delivery and 100% uptime of the Environments.
- Collaborate with cross-functional teams, including ecosystem leadership and data insights teams, engineering, sales, and marketing to ensure all stakeholders are aligned.
- Partner with scrum master daily to build out stories and sprint planning.
- Partner with leader on Data Insights team daily to stay aligned on priorities.
- Stay up to date with the latest industry trends and emerging technologies to identify opportunities for innovation and growth.
- Establish and maintain effective communication channels with internal and external stakeholders.
What You'll Need to Succeed
- BS in Engineering, Business Administration, Statistics, Business Analytics, or applicable experience in related field
- Minimum of (7) seven years of SDLC experience in ETL/ELT environments with tools/technologies such as Fivetran, dbt, SQL, AWS Redshift, Boomi, PowerBI , Git.
- Minimum of (5) years of experience in building out schemas for Analytical purposes
- Minimum (5) years of experience in a People Leader role managing a Data Engineering team.
- Minimum (5) years of hands-on experience AWS Cloud and Services such as AWS Glue, AWS Lambda, Python
- Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua.
- Strong development background and expert level skills with modern SDLC best practices.
- Proven track record of delivering successful data initiatives.
- Excellent communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders.
- Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
- Experience working in a fast-paced, agile environment.
- Ability to prioritize and manage multiple projects simultaneously.
- Excellent leadership and management skills, with the ability to inspire and motivate a team to achieve their goals.
