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Success Starts Here

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.


Sr. Group Manager - Enterprise IT

Date:  Sep 10, 2021
Location: 

Bangalore, KA, IN, 560071

Req ID:  160542

Job Responsibilities

    • As a leader/manager in Enterprise Analytics group at Lam Research you will be responsible for leading and managing multiple projects in data analytics area.
    • Manage a team of 8-10 Data engineers and ML/AI and Devops engineers to support the business needs and collaborate with data architecture, business and development teams.
    • Use leadership abilities to drive cross functional development on new solutions from design through delivery.
    • Function as the accountable individual for overall solutions delivery on projects from initiation to closure
    • Help 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
    • Develop collaborative relationships with key business sponsors and IT resources for the efficient resolution of work requests

Minimum Qualifications

    • Deep experience in architecting cloud based big data platform using MS Azure stack
    • 8+ years of experience in managing and mentoring team of data engineers, Devops/AI/ML engineers ensuring data engineering best practices are being followed
    • 10+ years of Technical hands-on experience with Data Lakes/Warehouses such as ADLS, Synapse, Cosmos, Azure Data Factory, Data Bricks etc.
    • Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams
    • Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress
    • Advanced knowledge of T-SQL
    • Experience interacting with APIs, utilizing SDKs, and other tools
    • Experience with Structured/Unstructured data related projects

Preferred Qualifications

    • Effective collaboration, communication, and teamwork skills

Preferred Qualifications

Our Commitment

 

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.


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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