Senior Enterprise Data Architect & Governance Lead

Compunnel Inc.; South Carolina; On-site; USD 85,000 - 120,000; Full time

Job summary

A technology services provider in South Carolina is seeking a Data Architect / Analyst to play a pivotal role in enterprise-wide data management initiatives, including Data Quality Management and data architecture design. The ideal candidate will possess strong SQL and PL/SQL skills with a Bachelor’s degree in a relevant field and at least 4 years of program development experience. This position involves leading data management processes and developing enterprise solutions aligned with technology roadmaps.

Qualifications

• Minimum 4 years of IT program development experience.
• Strong SQL and PL/SQL skills.
• Expertise in RDBMS and physical database design.

Responsibilities

• Lead Data Quality Management and Data Stewardship programs.
• Define data architecture process standards and frameworks.
• Architect enterprise data management solutions aligned with strategic technology.

Skills

SQL

PL/SQL

Data Architecture Tools

Data Quality Management

Systems Analysis

Leadership

Education

Bachelor’s degree in Information Systems or Computer Science

Tools

ERWin

Informatica PowerCenter

Data Profiling

Job description

The Data Architect / Analyst plays a leadership role in enterprise-wide data management initiatives, including Data Quality Management, Metadata Management, Master Data Hub architecture, and Data Warehouse design. This role is responsible for developing frameworks, standards, and enterprise solutions aligned with strategic technology roadmaps and industry trends. The analyst also serves as a technical expert in application development, data flows, and systems integration, ensuring compliance with validation and quality assurance requirements.

Key Responsibilities

• Lead enterprise-wide Data Quality Management, Data Resource Management, and Data Stewardship programs.
• Define and institutionalize data architecture process standards and frameworks.
• Develop a Data Management Process Framework and Capability Maturity Model.
• Execute quantitative maturity assessments for functional business areas.
• Establish metadata management infrastructure strategy and master data hub technology architecture.
• Collaborate with global governance teams to institutionalize policy, standards, and architectural deliverables.
• Provide leadership in defining enterprise information architecture to support business needs.
• Technical Expertise & Solution Development
• Architect enterprise data management solutions aligned with strategic technology roadmaps.
• Apply data modeling, physical database design, and database tuning expertise.
• Design and implement ERP and Data Warehouse architectures.
• Utilize tools such as ERWin, ETL (Informatica PowerCenter), and Data Profiling.
• Apply data-driven analysis methods (DOE, SPC, Mold Flow Analysis, FMEA).
• Support Computer Systems Validation and Software Quality Assurance.
• Application Development & Analysis
• Develop and maintain application programs and interfaces.
• Translate specifications into new or enhanced application solutions.
• Demonstrate command of multiple programming languages, systems analysis, testing, debugging, and documentation standards.
• Maintain peer relationships across IT areas to support effective implementations.

Required Qualifications

• Bachelor’s degree in Information Systems, Computer Science, or related technical discipline.
• Minimum 4 years of IT program development experience.
• Strong SQL and PL/SQL skills.
• RDBMS expertise and physical database design experience.
• Proficiency with data architecture tools (ERWin, ETL, Informatica, Data Profiling).

Preferred Qualifications

• Experience in enterprise-wide data architecture programs at large organizations.
• Familiarity with SEI CMMI or similar process improvement frameworks.
• Experience with metadata management, master data hub design, and ERP dta architecture.
• Knowledge of Lean and process quality methodologies.
• Proven analytical skills to evaluate and interpret cross-functional data standardization requirements.
• Ability to resolve complex enterprise-wide data architecture issues.
• Strong leadership, collaboration, and matrix management skills.
• Excellent presentation, verbal, and written communication abilities.
• Strategic thinker with results-oriented management style.
• Effective in team building and stakeholder engagement.