The group you'll be a part of
GIS Enterprise Analytics
The impact you'll make
As a Data Security Engineer/ Cloud Security Engineer will have a strong background in securing and maintaining an enterprise cloud data environment. Candidates with experience in Analytics Data Security and Cloud security engineering will be highly preferred.
What You'll Do
- Strong communication and collaboration skills to work effectively with cross-functional teams
- Implement and maintain cloud data and analytics security solutions
- Implement access policies to secure databases, schemas, tables, and other database objects
- Understand and abide by all Information Security policies and control standards
- Conducts troubleshooting of data security issues, performs root cause analysis and optimize security incidents through lessons learned process
- Adept understanding of the Cloud Security best practices in Azure
- Proven experience with Microsoft technologies including Azure B2B and Application Security in Azure
- Collaborate effectively across cross-functional teams to ensure seamless integration and implementation of data security controls within analytics platforms
Who We're Looking For
- Bachelor's Degree in Computer Science, Information Technology, Information Security, Information Assurance, Information Management in related field or equivalent experience
- Certifications in Microsoft Azure Security Engineer Associate (AZ-500) - Strongly Preferred
Preferred Qualifications
- Excellent problem-solving skills and the ability to perform root cause analysis.
- 7+ years of experience working in Cloud Security/Data security Engineering
- 2-3 years of experience in Azure data warehousing and analytics stack with a focus on data security set up
- 3+ years of experience in SQL DB/Warehouse security setup and implementing access policies to secure CCI and PII sensitive data using Row-Level Security (RLS), Column-Level Security (CLS), data masking, and data encryption features
- 3+ years of experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, SQL WH etc
- Familiarity with common APIs: REST, SOAP preferred
- Experience in MS Fabric and MS Purview is preferred
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.
Lam Research (Lam or the Company) is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. On-site Flex you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time. 
