Snowflake Analyst - SAP S/4 Integration

The Snowflake Analyst is responsible for reverse engineering existing data solutions, translating business requirements into functional and technical specifications, and enabling seamless integration of SAP S/4HANA data into enterprise data products. This role bridges architecture, data engineering, and business analysis by deeply understanding source system structures and transforming them into optimized Snowflake based models., * Analyze existing data products, pipelines, and data models to reverse engineer solution logic, dependencies, and transformation rules.

• Work with SAP functional and technical teams to understand SAP S/4HANA data structures (tables, CDS views, IDocs, APIs, etc.) and map them into Snowflake models.
• Design and document functional specifications and detailed technical specifications for integrating SAP S/4HANA data into Snowflake and downstream data products.
• Evaluate SAP source data for quality, completeness, and alignment with business reporting needs.
• Collaborate with architects and data engineers to define ingestion frameworks, staging layers, data transformations, and semantic models.
• Translate business use cases into robust data requirements, ensuring consistency across enterprise data domains.
• Prepare lineage documentation, data dictionaries, mapping documents, and interface specifications.
• Support testing efforts by defining test scenarios, validating data transformations, and troubleshooting data issues across the ingestion pipelines.
• Recommend improvements to existing Snowflake models, warehouse configurations, and transformation logic based on findings from reverse engineering activities.
• Ensure compliance with data governance, security policies, and best practices for SAP/Snowflake integration.

• Strong proficiency with Snowflake (warehousing concepts, schema design, performance optimization, SQL).
• Experience interpreting SAP S/4 data structures, including modules such as FI/CO, MM, SD, or PP.
• Ability to read and understand SAP metadata from tables, CDS views, SAP extractors, or SAP BW artifacts.
• Knowledge of ELT/ETL frameworks, data modeling concepts, and data pipeline architectures.
• Demonstrated ability to reverse engineer existing datasets, views, or dashboards.
• High competency in writing detailed functional and technical specifications.
• Strong communication and collaboration skills, especially in cross functional SAP/Data Engineering environments., * Prior work in large enterprise SAP landscapes.
• Understanding of cloud architectures (Azure, AWS, GCP), particularly Snowflake native services.

Education/Experience: Typically requires a degree in Technology, Engineering or Data Science unless prohibited by local laws/regulations and minimum 2 years of prior relevant experience or an Advanced Degree in a related field or in absence of a degree, 6 years of relevant experience.

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• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers