Manager, Data Engineering; Atlanta, GA,

Position: Manager, Data Engineering (Atlanta, GA, US, 30338)
Job

CRH's Americas Materials division is the leading integrated supplier of aggregates, asphalt, ready mixed concrete and paving and construction services in North America. Our operations span North America with over 29,000 employees at close to 1,660 locations in 45 US States and 2 Canadian provinces.

Position Overview

The Manager, Data Engineering is a self-directed technical leader responsible for managing the design, development, and delivery of scalable, enterprise data solutions. This role leads the planning and implementation of data engineering initiatives across the full lifecycle-from requirements definition through deployment and support-while ensuring alignment with enterprise data strategy and business priorities.

The Manager, Data Engineering will facilitate the definition of data solutions, technical architecture, and delivery plans while ensuring high standards of data quality, governance, and security. This role partners cross-functionally with business stakeholders, analytics teams, and IT functions to deliver reliable, high-quality data products.

The ideal candidate is a pragmatic, analytical leader with strong technical expertise and excellent communication skills. He/she will drive collaboration across teams, influence stakeholders, and ensure successful execution of complex data initiatives while maintaining delivery timelines, quality standards, and operational controls.

This role offers the opportunity to lead and shape enterprise-scale data and analytics capabilities within CRH. The successful candidate will work with modern cloud technologies and a forward-looking data platform while partnering with a collaborative, high-impact team driving data transformation across the organization. This position provides the ability to influence strategic initiatives at the intersection of business and technology.

Key Responsibilities (Essential Duties and Functions)

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

* Lead the design, development, and implementation of scalable, reusable data pipelines and data products

* Translate business requirements into technical solutions in collaboration with stakeholders and analytics teams

* Define scope, milestones, and deliverables aligned with strategic business priorities

* Establish and enforce engineering best practices, including modular design, testing frameworks, and CI/CD pipelines

* Ensure high standards of data quality, governance, lineage, and auditability across all solutions

* Manage end-to-end delivery of data engineering initiatives using agile or hybrid methodologies

* Identify and manage dependencies, risks, and issues, developing mitigation plans as needed

* Oversee release management processes, including planning, scheduling, and deployment across environments

* Implement structured change management processes ensuring controlled and auditable releases

* Coordinate efforts across cross-functional teams including MDM, analytics, ERP, and business units

* Lead, mentor, and develop a high-performing data engineering team

* Provide technical guidance and performance management to team members

* Drive adoption of modern cloud-based data platforms and tools

* Promote continuous improvement, innovation, and engineering excellence

* Evaluate emerging technologies and recommend enhancements aligned with enterprise architecture

* Build and maintain strong relationships with stakeholders to support successful delivery and adoption of data solutions

* Other duties as assigned by management

Qualifications

Education / Experience

* Minimum of 10 years of experience in data engineering, data warehousing, or analytics delivery

* Minimum of 3 years of experience leading technical teams or data engineering functions

* Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field

* Experience working in complex, cross-functional enterprise environments preferred

* Experience delivering large-scale, enterprise data initiatives

Work Requirements

* Must be 18 years in age or older

* Candidates must be able to successfully complete pre-employment screenings, including…