Offer summary

Qualifications:

BS in Engineering, Business Administration, Statistics, Business Analytics, or related field., Minimum of 7 years of SDLC experience in ETL/ELT environments with tools like SQL and AWS Redshift., At least 5 years of experience managing a Data Engineering team and building schemas for analytical purposes., Strong communication, leadership, and problem-solving skills with a proven track record in data initiatives..

Key responsabilities:

Lead the Data Engineering team to build and maintain data ingestion pipelines.

Ensure best practices for development, testing, and monitoring of data processes are implemented.

Collaborate with cross-functional teams to align on data priorities and initiatives.

Stay updated on industry trends to drive innovation and maintain effective communication with stakeholders.

Job description

At Colibri, culture is a critical part of our collective success, and we live our values everyday: Love, Joy,

Boldness, Teamwork and Curiosity. These values guide our interactions with each other, our customers,

and the community as a whole.

We 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’s

family 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-aligned

professionals. 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.

Colibri Group welcomes applicants from all backgrounds and experiences, and we understand that not every candidate will meet every requirement listed in the job description. Research has shown that women and people of color may be less likely to apply to jobs unless they feel they meet every qualification, and we want to actively combat this bias in our hiring process. If you're excited about the role and believe you have the skills and experience to contribute to our team, we encourage you to apply, even if your background doesn't align perfectly with every qualification listed. We are committed to building a diverse and inclusive workplace, and we believe that diversity of perspectives and experiences is essential to our success. You may be just the right candidate for this role or another position within our organization. Don't hesitate to take the leap and apply today!

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