SAP Data Architect -Austin, TX (Onsite from Day 1)

Expectations / Deliverables for the Role

• BUILDS THE SAP DATA FOUNDATION BY DEFINING HOW SAP SYSTEMS STORE, SHARE, AND MANAGE TRUSTED ENTERPRISE DATA
• PRODUCES REFERENCE DATA ARCHITECTURES BY LEVERAGING EXPERT INPUT FROM APPLICATION, ANALYTICS, INTEGRATION, PLATFORM, AND SECURITY TEAMS
• These architectures FORM THE BASIS FOR NEW SOLUTIONS AND ENTERPRISE DATA INITIATIVES
• ENABLES ANALYTICS AND AI USE CASES BY SURENING DATA IS CONSISTENT, GOVERNED, AND DISCOVERABLE
• Leverages SAP BUSINESS DATA CLOUD, DATASPHHERE, MDG AND RELATED CAPABILITIES TO UNIFY DATA AND ELIMINATE DUPLICATE DATA COPIES
• DEFINES AND MAINTAINS COMMON DATA MODEL CATALOGS TO CREATE A SHARED UNDERSTANDING OF CORE BUSINESS DATA
• EVOVES DATA GOVERNANCE, OWNERSHIP, METADATA, AND LINEAGE STANDARDS ACROSS THE ENTERPRISE
• PRESERVES CORE TRANSACTIONAL SYSTEMS BY PREVENTING EXCESSIVE REPLICATION AND EXTRACTION LOADS

Technical Proficiency

• STRONG KNOWLEDGE OF SAP MASTER AND TRANSACTIONAL DATA DOMAINS
• HANDS-ON EXPERIENCE WITH SAP MDG, BUSINESS DATA CLOUD, BW, DATASPHHERE, OR SIMILAR PLATFORMS
• EXPERTISE IN DATA MODELING, METADATA MANAGEMENT, DATA QUALITY, AND DATA GOVERNANCE PRACTICES
• UNDERSTANDING OF DATA ARCHITECTURES THAT SUPPORT ANALYTICS, AI, AND REGULATORY REQUIREMENTS
• EXPERIENCE INTEGRATING SAP DATA WITH NON-SAP ANALYTICS AND REPORTING PLATFORMS

Soft Skills

• ABILITY TO ALIGN DATA, ANALYTICS, AND ENGINEERING TEAMS AROUND A SHARED DATA VISION AND DRIVE CONSENSUS ON DATA STANDARDS AND DECISIONS
• STRONG FACILITATION SKILLS TO RESOLVE DATA OWNERSHIP AND DEFINITION CONFLICTS
• CLEAR COMMUNICATOR WHO CAN EXPLAIN ARCHITECTURE CHOICES, TRADE-OFFS, AND COST IMPACTS TO STAKEHOLDERS
• PRAGMATIC MINDSET FOCUSED ON VALUE, REUSE, AND SIMPLIFICATION
• COMFORTABLE CHALLENGING DESIGNS CONSTRUCTIVELY IN ARB REVIEWS