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As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

This success is the result of our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation.

Join the Lam Research team, where you can write your own success story. Come help us solve our customers' toughest problems and be part of a company that plays a vital role in the future of electronics.

Lam Research - a company where successful people want to work

IOT/Big Data Architect

Date: Feb 20, 2018

Location: Fremont, CA, US, 94538

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Summary Description:

As a Big Data Architect at Lam Research, you must have extensive experience building and operating big data solutions with a proven track record in driving business success by architecting, designing, adopting and applying big data strategies and architectures (incl. infrastructure). You must be experienced in large-scale system implementations with a focus on complex (structured, un-structured and semi-structured) data processing. You must demonstrate a deep understanding of data analytics best practices, and expertise in data modeling, data cleansing, data mining, data abstraction and machine learning. The Big Data Principal Architect must be a consensus builder across a highly- technical cross-functional teams across Lam’s engineering and IT business units.


Essential Job Duties:

  • Perform architecture design, data modeling, and implementation of big data platforms and provide design support to analytic applications based on machine learning
  • Develop highly scalable and extensible big data platforms which enable collection, storage, modeling, and analysis of massive data sets including those from IoT (tool data) and business data
  • Drive architecture engagement models and be an ambassador for partnership with Engineering, IT and external vendors
  • Provide support in design and architecture of applications involving Data Science and with Machine Learning concepts
  • Drive initiatives, assessments, workshops, and POC’s
  • Analyze latest Big Data platforms, technologies and their applicability to Lam use cases


Required Experience:

  • Over 10 years of relevant architecture experience
  • 5+ years of experience architecting solutions in environments utilizing IoT, big data, business intelligence
  • Hands-on experience in Big Data Components/Frameworks such as Hadoop, Spark, Storm, HBase, HDFS, Pig, Hive, Phoenix, Solr, Flume, Kafka, PyScripts, Unix Shell scripts
  • Experience in using libraries in R, Python, Matlab to query data from big data platforms
  • Experience in architectural patterns for data-intensive solutions and implementation of large and highly complex projects
  • Deep understanding of cloud computing infrastructure and platforms (e.g. Azure)
  • History of working successfully with cross-functional engineering teams
  • Experience in business domains like Manufacturing and supply chain is a plus
  • Continuous delivery and deployment using Agile Methodologies.
  • Data modeling of relational and dimensional databases
  • Structured, Unstructured, Semi-Structured Data techniques and processes






Nearest Major Market: San Francisco
Nearest Secondary Market: Oakland

Job Segment: Architecture, Database, Engineer, Information Systems, Cloud, Engineering, Technology

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