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# SAP Data Architect

- **Company:** Intersources Inc.
- **Location:** Austin, TX, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Data Architecture, Data Governance, Data Sharing, Meta-Data Management, Reference Data, SAP (Applications), SAP Business Suiteing, SAP NetWeaver Business Warehouse, SAP NetWeaver Data Management, SAP Project System, Transaction Data, Data Strategy, SAP MDG, Tools for Reporting
- **Published:** September 4, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/31943994#/jobs/31943994

## About the Role

· Strong knowledge of SAP master and transactional data domains.
· Hands-on experience with SAP MDG, Business Data Cloud, BW, Datasphere, 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, and engineering teams around a shared data vision, 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

## Description

· Experience of managing C-level (CIO/CEO/CXO) level stakeholder.
· Played architect level role is defining data management strategy
· 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 ensuring data is consistent, governed, and discoverable.
· Leverages SAP Business Data Cloud, Datasphere, 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.
· Evolves data governance, ownership, metadata, and lineage standards across the enterprise.
· Protects core transactional systems by preventing excessive replication and extraction loads.
· Expertise in various tools / apps used to manage data and their pros and cons.


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