EY is looking to define, design, and execute scalable data architecture strategies to support enterprise-wide data migration and transformation programs within the EY SAP Enterprise Data Management Initiative. This role aims to ensure data integrity, consistency, scalability, and alignment with enterprise data standards, while enabling long-term data governance and seamless integration between SAP and modern cloud ecosystems.
Requirements
- Strong background in enterprise data architecture and SAP data management (SAP ECC, S/4HANA, MDG, BW/4HANA).
- Experience working with cloud providers and platforms: Microsoft Azure, AWS, Google Cloud, Snowflake, Nvidia RAPIDS, Databricks.
- 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.
- Strong expertise in Databricks platform and Apache Spark (Scala, Python, or SQL).
- Experience designing and developing large-scale ETL pipelines and batch/streaming data workflows.
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.
- 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.
- 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.
- Lead the design and implementation of data pipelines, notebooks, and workflows on the Databricks platform supporting SAP data migration and analytics use cases.
- Develop, optimize, and tune Spark jobs for large-scale, distributed data processing.
Other
- Strong leadership, stakeholder management, and cross-functional collaboration skills.
- Familiarity with architecture frameworks such as TOGAF or DAMA-DMBOK.
- Experience working in SAP data migration or BDC projects is advantageous.
- Agile mindset and experience working in DevOps/CI-CD environments.
- Ability to work across global teams and adapt to distributed delivery models.
