Enterprise Data Architect

The opportunity

As an EY Enterprise Data Architect within the EY SAP Enterprise Data Management Initiative, you will lead the definition, design, and execution of scalable data architecture strategies to support enterprise-wide data migration and transformation programs. This role ensures data integrity, consistency, scalability, and alignment with the organization’s enterprise data standards, while enabling long-term data governance.

As part of this role, you will work closely with a high-performing team that is building a modern, enterprise-grade data platform using products from leading providers such as Microsoft, Nvidia, Databricks, Snowflake, AWS, and Google. You will ensure that platform-level design decisions align with EY’s enterprise strategy while enabling seamless integration between SAP and modern cloud ecosystems.

You will collaborate with technical, functional, and business teams to design optimal data models, flows, and frameworks that support SAP BDC processes and accelerate digital transformation.

Your key responsibilities 

• Lead the end-to-end data architecture strategy across SAP BDC initiatives, including data modeling, transformation, and governance.
• Define target and transition architectures for both SAP and non-SAP data domains, integrating with modern platforms such as Azure, AWS, Snowflake, and Databricks.
• Ensure data platform alignment with architectural principles across hybrid cloud environments, leveraging third-party tools from Microsoft, Nvidia, Google, and others.
• Design and validate data flows, lineage, and integration points between legacy systems, SAP S/4HANA, and cloud-based platforms.
• Collaborate with migration teams to drive effective ETL/ELT strategy and data quality frameworks, ensuring consistency across enterprise systems.
• Identify and mitigate data risks, including data duplication, data loss, latency, or security compliance gaps.
• Guide tool selection, integration architecture, and usage of cloud-native services (e.g., Azure Data Factory, BigQuery, Snowpark, Databricks notebooks) to support data lifecycle processes.
• Establish architecture principles for data cataloging, metadata management, lineage tracking, and access control.
• Partner with enterprise architecture, SAP consultants, and delivery teams to define data standards and governance models.
• Provide oversight to ensure data platform scalability, including handling structured, semi-structured, and unstructured data across various ingestion pipelines.
• Review technical deliverables and mentor teams on best practices in data architecture and integration design.

Skills and attributes for success 

• Strong background in enterprise data architecture and SAP data management (SAP BDC, SAP ECC, S/4HANA, MDG, BW/4HANA).
• Experience working with cloud providers and platforms: Databricks, Snowflake, Microsoft Azure, AWS, Google Cloud, Nvidia RAPIDS,.
• Proficiency in data modeling (conceptual, logical, physical), data governance, and metadata management.
• Experience designing and governing large-scale data migration and transformation initiatives.
• Knowledge of data migration tools such as SAP BODS, LSMW, IDocs, or CPI.
• Solid understanding of data privacy and compliance standards (GDPR, HIPAA, etc.).
• Strong leadership, stakeholder management, and cross-functional collaboration skills.
• Familiarity with architecture frameworks such as TOGAF or DAMA-DMBOK.

Other Requirements:

• Strong experience in offshore/onsite working model and working with global teams.
• Certifications in cloud platforms, TOGAF, or SAP data technologies are a plus.
• Exposure to Agile delivery and DevOps concepts is desirable.
• Ability to travel (international/domestic) based on project needs.

Job Requirements:

Education:

BS/MS in Computer Science, Information Systems, Data Engineering, or a related field.

Experience:

12–15+ years of experience in enterprise data architecture, with at least 7 years in SAP and related data transformation environments.