Hiring: Data Architect Company: Lam Research Location: Fremont, CA Job Posted Time: 2026-09-15 11:31:07 Target Skills & Keywords : AWS, Azure, Data Lake, Data Warehouse, Databricks, Digital Transformation, ELT, ETL, Financial Planning, Program Management, Python, REST, Redshift, SAP, SOAP, SQL, SaaS, Spark, Workday About the job Experience: •12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks. •10 years of SQL experience with cloud-native data warehousing and data modeling. •5 years of experience in building and supporting FP&A applications, integrating platforms such as Workday Adaptive, Anaplan, SAP BPC etc. with ERP systems and Azure data platform. •5 years of experience configuring Azure cloud and SaaS platforms and building automated ETL/ELT pipelines for real-time, streaming and batch data exchange. •3 years working extensively with Spark and Python technologies for big data processing. Required Skills: •Technical Program Manager supporting digital transformation in GBIS (Global Business Intelligence Solutions) group at Lam Research, you'll be responsible for designing and developing data engineering and integration solutions for future systems. Qualifications: •Strong background in working with and analyzing large datasets, particularly in IoT and enterprise domains. •Preferred: Strong computer science and mathematics foundation. •Excellent SQL/query writing skills and communication abilities. •Operational familiarity with common APIs, such as REST and SOAP, is advantageous. •We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. •Lam Research ("Lam" or the "Company") Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!