Senior Master Data Architect—STIBO/Oracle Data Platforms

att; Alpharetta (GA); On-site; USD 155,400 - 261,100; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Adoption Reimbursement

Disability Benefits

Employee Discounts

Job summary

AT&T is seeking a Principal Solution Architect to design, implement, and continuously improve enterprise master data solutions across STIBO STEP and Oracle ecosystems. You will ensure data quality, governance, and scalable processes supporting supply chain and procurement functions.

Responsibilities include configuring STIBO STEP, managing item master data, mastering data reconciliation, and leading data governance initiatives with cross-functional teams.

Qualifications

• Strong hands-on experience with STIBO STEP configuration and data quality.
• Experience with Oracle ERP, including Oracle 12 on-premise and Oracle Cloud.
• Proven ability to extract, merge, and reconcile data across systems.
• Experience with item master, supplier, vendor, or contract master data in supply chain.

Responsibilities

• Design and support data solutions across STIBO STEP and Oracle ecosystems.
• Manage item master data ensuring quality, governance and lifecycle integrity.
• Perform data extraction, transformation, merging, and reconciliation.
• Develop API integrations and batch data processes; provide production support.

Skills

STIBO STEP

Oracle ERP

SQL/PLSQL

APIs & integration

Data governance

Data quality

Master data

Stakeholder management

Education

BA/BS in IT/CS/Engineering

Tools

SmartSheets

Oracle Cloud

Oracle 12

Job description

AT&T is seeking a Principal Solution Architect to design, implement, and continuously improve enterprise master data solutions across STIBO STEP and Oracle ecosystems. You will ensure data quality, governance, and scalable processes supporting supply chain and procurement functions.

Responsibilities include configuring STIBO STEP, managing item master data, mastering data reconciliation, and leading data governance initiatives with cross-functional teams.