Back to jobsOwn the SAP-to-Snowflake integration architecture using Alnylam’s common integration pattern — Fivetran for extraction, Snowflake as the enterprise lakehouse, and dbt for transformation and semantic modeling — ensuring reliable, governed, AI-ready data pipelines across all SAP domains.
Design and optimize change data capture strategies across SLT replication, ODP extraction, ABAP CDS views, and Fivetran delta modes, balancing extraction latency, SAP system performance, and data completeness.
Build canonical SAP data models in dbt that translate complex ERP table structures into intuitive, well-governed datasets in the Snowflake medallion architecture, including reusable macros for currency conversion, UOM handling, hierarchy flattening, and SAP-specific semantic layer definitions.
Implement data quality monitoring, security architecture (RBAC, column masking, row-level security), and CI/CD pipelines for SAP data infrastructure, ensuring compliance with GxP, 21 CFR Part 11, and SOX requirements.
Serve as the enterprise SAP data SME — leading architecture reviews, mentoring domain engineers, partnering with SAP Basis and functional teams, and representing Alnylam in vendor discussions with Fivetran, Snowflake, and SAP.
Define the SAP data product roadmap and future-state integration architecture strategy, evaluating emerging capabilities including SAP Datasphere, SAP BTP, and Snowflake Native Apps as the ERP landscape evolves.
