Data Architect
Core
Lead Data and Cloud Architect driving the data architecture and engineering agenda for Lam Research's Digital Transformation program, unifying service, installed-base, and customer engagement data into trusted analytics and AI-ready products.
Role type
Senior Lead Data and Cloud Architect
Builds
End-to-end data landscape including data models, pipelines, integration patterns, and cloud data platform design for Customer Support and Service.
Domain
Industrial equipment manufacturing / IoT / Cloud Data Engineering
Deliverable
production ML models
Required skills
Data architecture design, Cloud data platform design, Data modeling (dimensional), ETL/ELT patterns, Big data processing (Spark, Python), SQL, IoT/telemetry data analysis, Schema design
Preferred skills
Azure Synapse, MS Fabric, Power BI, Databricks, Kafka, ADF, SAP, MS Dynamics
Technologies
Azure, MS Fabric, Power BI, Databricks, Spark, Python, Kafka, ADF, Snowflake, Azure Synapse
Responsibilities
Define and document target-state data architecture including source-to-target mappings and canonical data models; Author technical specifications and partner with engineering teams for implementation; Architect scalable, secure, and cost-efficient data pipelines; Serve as technical advisor on analytics design; Ensure alignment with Data COE principles and governance; Design advanced Analytics and AI applications using Azure tech stack.
Seniority
Senior, hands-on IC with leadership responsibilities
