Director of Data Engineering

Summary

Join Colibri's Data Engineering team as Director and lead the team in building trusted data ingestion pipelines. You will be responsible for implementing best practices, managing a team of data engineers, and collaborating with cross-functional teams. This role requires a strong technical background, excellent communication skills, and proven experience in data initiatives. The ideal candidate will have a minimum of seven years of SDLC experience and five years of experience in a people leader role. The position reports directly to the Senior Director of Enterprise Architecture and offers the opportunity to work in a fast-paced, agile environment.

Requirements

• Have a BS in Engineering, Business Administration, Statistics, Business Analytics, or applicable experience in related field
• Have a 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
• Have a minimum of (5) years of experience in building out schemas for Analytical purposes
• Have a minimum (5) years of experience in a People Leader role managing a Data Engineering team
• Have a minimum (5) years of hands-on experience AWS Cloud and Services such as AWS Glue, AWS Lambda, Python
• Be familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua
• Have a strong development background and expert level skills with modern SDLC best practices
• Have a proven track record of delivering successful data initiatives
• Have excellent communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders
• Have strong analytical and problem-solving skills, with the ability to make data-driven decisions
• Have experience working in a fast-paced, agile environment
• Have the ability to prioritize and manage multiple projects simultaneously
• Have excellent leadership and management skills, with the ability to inspire and motivate a team to achieve their goals

Responsibilities

• Be accountable for implementation of best practices for development, automated testing, monitoring of data ingestion pipelines
• Be accountable for Data Mapping, Data Transformation to Analytics friendly structures and Data Validation
• Be accountable for Governance of standards and best practices within the Data Engineering Team
• Manage a team of Data Engineers
• Be 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