Job ID: 525350
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 a background check and drug test, in accordance with applicable laws and company policies.
- Strict adherence to safety requirements and procedures as outlined in the Employee Handbook
- Ability to work independently and within a team environment
- Must be available to travel as required
Knowledge / Skill Requirements
- Strong expertise in data warehousing concepts, SQL, and data modeling
- Experience with modern data platforms (e.g., Snowflake, Azure Data Services, dbt)
- Proficiency in programming languages such as Python
- Experience building scalable ETL/ELT pipelines and data processing frameworks
- Experience implementing CI/CD pipelines using tools such as Azure DevOps and Git
- Knowledge of data quality frameworks, testing strategies, and governance practices
- Familiarity with ERP systems (e.g., SAP S/4HANA) and enterprise data integration
- Ability to lead and influence cross-functional teams in a matrixed organization
- Strong oral and written communication skills
- Ability to translate complex technical concepts into business-friendly language
- Strong problem-solving and analytical skills with a focus on delivering business value
- Experience working within agile delivery frameworks and structured release processes
- Ability to manage multiple initiatives in a fast-paced environment
- Strong leadership skills with the ability to mentor and develop team members
- Ability to prioritize and execute tasks under pressure while maintaining quality and accuracy
- Self-directed with the ability to drive results and influence stakeholders
- Encourages innovation and continuous improvement
Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
- Able to communicate with others by telephone and in person
- Able to utilize a computer for word processing, email communication, and preparation of documents and presentations
- May require sitting for extended periods of time
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
- Usually, normal office working conditions; noise level is typically quiet
- May require work outside of normal business hours
The statements included in this job description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job. Other duties may be assigned as required. Requirements for this job are subject to modification by the Company and its designees, and reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
What CRH Offers You
- Highly competitive base pay
- Comprehensive medical, dental and disability benefits programs
- Group retirement savings program
- Health and wellness programs
- An inclusive culture that values opportunity for growth, development, and internal promotion
About CRH
CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.
If you're up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!
CRH Americas Materials Inc. is an Affirmative Action and Equal Opportunity Employer.
EOE/Vet/Disability
CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
AI tools may be used in certain stages of the employment lifecycle, such as candidate review; however, all final employment decisions will be made by a person.
