Architect Master Data Management

Discover a more connected career

Dycom Industries is embarking on a massive, transformational SAP S/4HANA implementation that will redefine how we operate. As we build our world-class SAP Center of Excellence (CoE), we recognize that pristine data is the foundation of our success. We are seeking a strategic Master Data Architect to serve as the ultimate custodian of the "Single Source of Truth".

In this critical leadership role within the CoE Administration pillar, you will ensure foundational data integrity across Finance, Supply Chain, and HR

Connecting you to great benefits

• Weekly Paychecks
• Paid Time Off, Parental Leave, and Holidays
• Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
• 401(k) w/ Company Match
• Stock Purchase Plan
• Education Reimbursement
• Legal Insurance
• Discounts on gym memberships, pet insurance, and much more!

What you’ll do

Architectural Design & Strategy

• End-to-End Architecture: Design and own the master data architecture across the entire SAP S/4HANA landscape and its integrated peripheral systems.
• Data Modeling: Define the data models for core business entities, including Business Partners, Vendors, Materials, Equipment, Cost Centers, and WBS Elements.
• Innovation Roadmap: Develop the long-term strategic roadmap for data automation, AI-driven data cleansing, and predictive data governance.

Enterprise Data Governance

• Policy Enforcement: Establish and enforce enterprise-wide data standards, naming conventions, and data lifecycle policies governing Create, Read, Update, and Delete/Archive functions.
• System Configuration: Architect and configure automated workflow approvals within SAP Master Data Governance (MDG) to ensure data is validated by the correct business stewards before entering the production environment.
• Business Partnership: Partner directly with Business Process Owner (BPO) Leads in Finance, Supply Chain, and Operations to translate physical business requirements into digital data rules.

Quality Assurance & System Health

• Gatekeeping: Act as the primary gatekeeper for the "Clean Core" strategy by actively preventing rogue data entries, unauthorized customizations, and duplicate records.
• Health Monitoring: Develop dashboards and KPIs to monitor data health, proactively identifying anomalies, orphan records, or integration failures.
• Data Migration Leadership: Lead mass data migration and cleansing initiatives during Mergers & Acquisitions (M&A) integrations or new operating company (OpCo) rollouts.

Cross-Pillar Integration

• Technical Collaboration: Collaborate with the technical and service pillars of the CoE to resolve data-related incidents and ensure seamless API integrations with legacy estimating, fleet, and ticketing systems.
• Analytics Enablement: Provide foundational data structures that enable accurate SAP Analytics Cloud (SAC) reporting and predictive models.

What you’ll need

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s degree preferred).

• Relevant SAP Certifications (e.g., SAP Certified Application Associate or Professional in SAP S/4HANA or Master Data Governance) are highly desirable.

• Any additional industry-recognized certifications in Data Management or Architecture (e.g., DAMA/CDMP) are a strong plus.

• Minimum of 8-10 years of experience in SAP data architecture, with deep technical proficiency in SAP S/4HANA, SAP Master Data Governance (MDG), and SAP Analytics Cloud (SAC).

• Proven track record of defining and implementing enterprise-scale data models for Business Partners, Materials, Equipment, and complex Financial structures (Cost Centers/WBS).

• Extensive experience establishing enterprise-wide data standards, lifecycle policies, and automated MDG workflow approvals to maintain a "Clean Core."

• Demonstrated success leading mass data migration and cleansing initiatives during large-scale SAP rollouts or Mergers & Acquisitions.

• Ability to partner effectively with Business Process Owners in Finance, Supply Chain, and Operations to translate business needs into technical data rules.

• Experience developing innovation roadmaps involving data automation, AI-driven cleansing, and predictive governance models.