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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.

We are a company comprised of people who work hard, deliver outstanding results and maintain a sense of humor during even the most challenging times. Our success results from our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation. We know that our dynamic, global team of exceptional employees is essential to our continued growth.

Join the Lam Research team, where you can play a vital role in the future of electronics and write your own success story.

Lead Enterprise Analytics Architect

Date: Apr 18, 2021

Location: Remote, Remote, US

Req ID: 155051

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Job Summary

As a Lead Architect in the Enterprise Analytics group at Lam Research, you will be responsible for leading and managing multiple projects in the data analytics area. You will be writing the specs and designing the solutions and coordinate with the development team to support the business needs and collaborate with data architecture, business, and development teams. You will also guide application and business development teams in the analytics design of complex solutions and ensure that they are in alignment with the COE data principles, standards, strategies.

Job Responsibilities

  • Lead, analyze, design and deliver big data centric analytics solutions and applications including statistical data models, reports, and dashboards in Microsoft/Azure tech stack
  • Use leadership abilities to drive cross functional development on new solutions from design through delivery.
  • Define, maintain and promote the advanced analytics standards and processes as part of GIS Center of Excellence across the company
  • Demonstrate the new capabilities of advanced analytics to business and technology teams to show the potential of the Data Fabric platform
  • Work with key stakeholders in product management and leadership to define strategy and requirements.
  • Work with remote teams to deliver supporting software and services in sync with launch timelines.
  • Offer insight, guidance, and direction on the usage of emerging data analytics trends and technical capabilities
  • Design advanced Analytics applications using Power BI, Synapse, SQL Warehouses including ETL pipelines using Microsoft Azure Platform
  • Develop collaborative relationships with key business sponsors and IT resources for the efficient resolution of work requests

Minimum Qualifications

  • 10+ years of experience in leading the design and development of data and analytics projects in a global environment. Experience managing technical projects across cross functional teams, building sustainable processes and coordinating release schedules.
  • 8+ years of SQL experience with data modeling and some Python background
  • 4+ years of experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, Data Factory, SQL Server and Warehouses.
  • Nice to have experience in SAP HANA and related business processes.
  • 10+ years of building and launching new data models that provide intuitive analytics for the analysts and customers
  • Strong experience working with and analyzing large datasets, within the relevant domains of IoT and enterprise data.
  • Must have strong experience in Data Warehouse ETL design and development, methodologies, tools, processes and best practices
  • Communication and presentation experience with proven track record of using insights to influence executives and colleagues

Education

  • Bachelor’s Degree in relevant domain or equivalent experience. Master degree preferred.

Our Commitment

 

Our work is everywhere you look – even if you can’t actually see it. Lam Research goes deeper than software or chips to the heart of the process that enables chip creation. So if you want to help power the components that empower everything, join us.

 

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

We Look Forward to Your Application

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