The Sr. Data Engineer & Solution Architect serves as the principal designer for Operations Data organization, with a focus on cloud-native data lakehouse architecture, advanced data engineering, and Supply Chain data domains. This role is responsible for conceiving, designing, and implementing scalable, high-performance data solutions leveraging modern AWS Database & Analytics services, Apache Iceberg open table format, AWS Redshift, and Medallion Architecture principles. The Sr. Data Engineer & Solution Architect will drive Data Product-centric thinking and data mesh principles for the organization, partnering closely with Supply Chain functional and business stakeholders to deliver trusted, governed, and actionable data and dashboards across from Supply Chain domains. This role requires a deep combination of hands-on technical expertise, solution architecture, and the ability to communicate complex data strategies to both technical teams and cross functional stakeholders. 

Responsibilities: 

• Design, develop, implement and oversee legacy ETL and cloud-native data ingestion frameworks and end-to-end data pipelines leveraging AWS services including AWS Glue,  Amazon S3, AWS EMR, AWS Lambda, and other ingestion / ETL technologies like Informatica; assess information needs and data flows to engineer scalable, reliable, and cost-effective solutions. 
• Solution architect data need for the Operations Supply Chain analytical use cases using Apache Iceberg open table format, implementing Medallion Architecture to ensuring data quality, lineage, and accessibility. 
• Build, optimize, and maintain AWS Redshift data warehouse solutions for Supply Chain analytical use cases, including the design of data products leveraging AWS Redshift aligned to enterprise analytics consumption patterns. 
• Define, promote, and implement Data Product-centric architecture and data mesh principles from business domains; establish standards for data product design, ownership, discoverability, and interoperability to enable all analytical Dashboards and AI use cases. 
• Partner with Supply Chain BTS (IT) functional and business stakeholders to understand and model critical data flows across from SAP and planning systems processes; translate complex ERP data structures into governed, analytics-ready data products within the lakehouse platform. 
• Lead consultant technical data engineering team responsible for building the solutions; supervise team members as needed, remain accountable for team delivery and performance, and cultivate a culture of engineering excellence and continuous improvement.