Information Technology_USA - USA_Platform Architect

Please strictly adpersone to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413 Bill Rate: market rate GBaMS ReqID: 10463421 MSP Owner: Stefanie Location: Austin, TX (5x/ week onsite) Duration: 6 months 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, Datasppersone, 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 Role Descriptions: Expectations Deliverables for the RoleBuilds 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 ProficiencyStrong 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 SkillsAbility to align data| and engineering teams around a shared data vision| drive consensus on data standards and decisionsStrong 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 Essential Skills: Expectations Deliverables for the RoleBuilds 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 ProficiencyStrong 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 SkillsAbility to align data| and engineering teams around a shared data vision| drive consensus on data standards and decisionsStrong 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 Desirable Skills: Keyword: Skills: Digital : SAP BW on HANA~SAP ECC - Master Data Governance (MDG) Experience Required: 10 & Above

Created: 2026-03-10