SAP Data Architect (exp with SAP MDG, Business Data Cloud, BW, Datasphere, or similar platforms) : 15+ Years : Visa Independent

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

SAP Data Architect
SAP MDG
Business Data Cloud
BW
Datasphere

Job Details

Position : SAP Data Architect (exp with SAP MDG, Business Data Cloud, BW, Datasphere, or similar platforms) : 15+ Years : Visa Independent
Location : Austin Texas ( Day 1 Onsite)
Experience : 15+ Years
Type of Contract : 12 Months

", are highly encouraged to apply . We are not sponsoring at this point of time"

SAP Data Architect

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 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.

Technical Proficiency
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

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