SAP
SAP Data Architect (BDC/Migrations/MDG) - Multiple Roles & Locations
SAP, Atlanta, Georgia, United States, 30383
As the global market leader for business software, SAP helps companies and organizations of all sizes in more than 25 industries to run better, and run simple, in real-time. From back office to boardroom, warehouse to storefront, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition.
SAP Customer Success is a global organization supporting the world’s largest companies running SAP solutions. We offer comprehensive services for every aspect of customers’ software implementation and operation.
We are seeking an experienced
Data Architect
with deep expertise in
SAP applications
and
SAP data models
to join our DMLT architecture team. The ideal candidate will play a critical role in designing and governing the data architecture that supports business operations and analytics across various SAP platforms including SAP Business Suite. Additional responsibilities include helping customers with master data strategy definition, architecting the requirement, data modelling, project implementation, and guidance on Best Practices.
Key Responsibilities
Ability to effectively communicate with customers and partners to understand the specific Enterprise master data needs and be able to translate those requirements into a comprehensive solution.
Define and maintain data architecture frameworks, standards, and principles specifically for SAP environments.
Collaborate with SAP functional consultants, technical consultants, and business analysts to ensure data models align with business goals.
Lead the integration of SAP data with enterprise data platforms such as data lakes, data warehouses, and analytics tools.
Establish and enforce data governance practices, metadata management, and data quality standards.
Partner with enterprise architects and other data architects to ensure consistency and alignment across the organization’s data ecosystem.
Provide technical leadership in performance tuning, data lifecycle management, and best practices in SAP data modeling.
Evaluate emerging SAP technologies and recommend adoption to enhance data architecture maturity.
Define data lineage strategy, data archiving, and decommissioning strategy to manage historical data and reduce TCO.
Lead and facilitate requirements gathering workshops.
Lead and provide guidance to other team members to ensure overall successful delivery of customer specific solution implementations for SAP business applications.
Actively engage in the preparation, conception, realization and go‑live of customer implementation projects, including feasibility studies, process design reviews, project assessments, support pre‑sales activities, and detailed specifications for development requirements.
Work with clients to establish data standards, governance structures, data quality, and compliance standards.
Have an appetite to acquire new knowledge, adapt to and contribute to fast‑innovating technologies.
Assist customers in designing data management strategies for their cloud, on‑premise, and hybrid landscapes.
Articulate and clearly communicate complex problems and solutions in a simple, logical, and impactful manner.
Coordinate between various teams across geographies, onsite, offshore, customer, SIs, and partners.
Exhibit excellent written and verbal communication skills with the ability to impart ideas in technical, business, and user‑friendly language.
Demonstrate strong leadership, interpersonal, and stakeholder management skills.
Required Work Experience
9+ years of experience in data architecture, with at least 7 years focused on SAP systems.
Hands‑on experience with SAP S/4HANA and SAP HANA Native Modeling.
In‑depth understanding of SAP data structures, data dictionary, CDS views, and data replication tools (e.g., SLT, SDI).
Implementation experience of SAP MDG in key domains such as Finance, Material, Business Partners, Customer, Supplier.
Experience with SAP MDG and SAP ETL tools such as SAP Datasphere, SAP Data Services, SAP Information Steward.
Experience with data integration tools and platforms (e.g., SAP Datasphere, SAP Data Services, SAP Information Steward, SAP BTP, SAP Integration Suite, or third‑party ETL tools).
Familiarity with enterprise data warehouse and data lake architecture patterns.
Solid knowledge of data governance frameworks and Master Data Management principles within SAP landscapes.
Implementation experience in hybrid landscapes.
Excellent understanding of data migration concepts and strategies.
Experience in data migration using SAP and non‑SAP solutions.
Experience conducting design thinking workshops.
Experience with cloud‑based SAP deployments (e.g., SAP S/4HANA Cloud, RISE with SAP).
Experience with SAP Activate, Agile, Scrum methodologies.
Experience in agile environments and DevOps practices.
Exposure to implementation in hyperscaler cloud landscapes such as AWS, Azure, GCP.
Knowledge of non‑SAP data integration and analytics platforms such as Snowflake, Databricks.
Proficient using Microsoft Office tools (PowerPoint, Excel, Word, Visio, Project).
Education
Required bachelor’s or master’s degree, preferably in Information Technology, Computer Science, Math, Engineering, or related field.
SAP Business Data Cloud certification is nice to have.
SAP certification(s) in data architecture, HANA modeling, or related domains.
Certifications such as PMP, TOGAF, ITIL are nice to have.
Compensation Range Transparency Targeted combined compensation range for this position is $107,300 – $230,600 USD. The actual offer will be within this range based on education, skills, experience, scope, location, and other factors.
Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
Requisition ID: 439507
#J-18808-Ljbffr
SAP Customer Success is a global organization supporting the world’s largest companies running SAP solutions. We offer comprehensive services for every aspect of customers’ software implementation and operation.
We are seeking an experienced
Data Architect
with deep expertise in
SAP applications
and
SAP data models
to join our DMLT architecture team. The ideal candidate will play a critical role in designing and governing the data architecture that supports business operations and analytics across various SAP platforms including SAP Business Suite. Additional responsibilities include helping customers with master data strategy definition, architecting the requirement, data modelling, project implementation, and guidance on Best Practices.
Key Responsibilities
Ability to effectively communicate with customers and partners to understand the specific Enterprise master data needs and be able to translate those requirements into a comprehensive solution.
Define and maintain data architecture frameworks, standards, and principles specifically for SAP environments.
Collaborate with SAP functional consultants, technical consultants, and business analysts to ensure data models align with business goals.
Lead the integration of SAP data with enterprise data platforms such as data lakes, data warehouses, and analytics tools.
Establish and enforce data governance practices, metadata management, and data quality standards.
Partner with enterprise architects and other data architects to ensure consistency and alignment across the organization’s data ecosystem.
Provide technical leadership in performance tuning, data lifecycle management, and best practices in SAP data modeling.
Evaluate emerging SAP technologies and recommend adoption to enhance data architecture maturity.
Define data lineage strategy, data archiving, and decommissioning strategy to manage historical data and reduce TCO.
Lead and facilitate requirements gathering workshops.
Lead and provide guidance to other team members to ensure overall successful delivery of customer specific solution implementations for SAP business applications.
Actively engage in the preparation, conception, realization and go‑live of customer implementation projects, including feasibility studies, process design reviews, project assessments, support pre‑sales activities, and detailed specifications for development requirements.
Work with clients to establish data standards, governance structures, data quality, and compliance standards.
Have an appetite to acquire new knowledge, adapt to and contribute to fast‑innovating technologies.
Assist customers in designing data management strategies for their cloud, on‑premise, and hybrid landscapes.
Articulate and clearly communicate complex problems and solutions in a simple, logical, and impactful manner.
Coordinate between various teams across geographies, onsite, offshore, customer, SIs, and partners.
Exhibit excellent written and verbal communication skills with the ability to impart ideas in technical, business, and user‑friendly language.
Demonstrate strong leadership, interpersonal, and stakeholder management skills.
Required Work Experience
9+ years of experience in data architecture, with at least 7 years focused on SAP systems.
Hands‑on experience with SAP S/4HANA and SAP HANA Native Modeling.
In‑depth understanding of SAP data structures, data dictionary, CDS views, and data replication tools (e.g., SLT, SDI).
Implementation experience of SAP MDG in key domains such as Finance, Material, Business Partners, Customer, Supplier.
Experience with SAP MDG and SAP ETL tools such as SAP Datasphere, SAP Data Services, SAP Information Steward.
Experience with data integration tools and platforms (e.g., SAP Datasphere, SAP Data Services, SAP Information Steward, SAP BTP, SAP Integration Suite, or third‑party ETL tools).
Familiarity with enterprise data warehouse and data lake architecture patterns.
Solid knowledge of data governance frameworks and Master Data Management principles within SAP landscapes.
Implementation experience in hybrid landscapes.
Excellent understanding of data migration concepts and strategies.
Experience in data migration using SAP and non‑SAP solutions.
Experience conducting design thinking workshops.
Experience with cloud‑based SAP deployments (e.g., SAP S/4HANA Cloud, RISE with SAP).
Experience with SAP Activate, Agile, Scrum methodologies.
Experience in agile environments and DevOps practices.
Exposure to implementation in hyperscaler cloud landscapes such as AWS, Azure, GCP.
Knowledge of non‑SAP data integration and analytics platforms such as Snowflake, Databricks.
Proficient using Microsoft Office tools (PowerPoint, Excel, Word, Visio, Project).
Education
Required bachelor’s or master’s degree, preferably in Information Technology, Computer Science, Math, Engineering, or related field.
SAP Business Data Cloud certification is nice to have.
SAP certification(s) in data architecture, HANA modeling, or related domains.
Certifications such as PMP, TOGAF, ITIL are nice to have.
Compensation Range Transparency Targeted combined compensation range for this position is $107,300 – $230,600 USD. The actual offer will be within this range based on education, skills, experience, scope, location, and other factors.
Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
Requisition ID: 439507
#J-18808-Ljbffr