Hybrid Data Architect - Data Warehousing & Performance

Lam Research Salzburg GmbH; Fremont (CA); On-site; USD 166,000 - 350,000; Full time

Job summary

Lam Research is hiring a Data Architect in Fremont, CA, to design, develop, and troubleshoot software tools that support design, infrastructure, and technology platforms, ensuring hardware-software integration.

You will work within Lam’s centralized software engineering team, impacting the entire product portfolio of equipment and collaborating with top engineers. The role requires strong data modeling, data flow management, and production system support in a fast-paced environment.

Qualifications

• 8+ years in data architecture or data engineering, with at least 5 years specializing in Microsoft technologies.
• Bachelor’s degree in computer science, electronics or mechanical engineering.
• Experience with performance tuning and optimization using native monitoring/troubleshooting tools.
• Knowledge of high availability and disaster recovery.

Responsibilities

• Design, implement, configure, and maintain data systems to ensure availability and performance of enterprise applications.
• Develop and sustain data management and logistics ecosystem for multiple business units and development teams.
• Refine and automate regular processes, track issues, and document changes.
• Provide domain and technical mentorship to peers and teams.

Skills

Data architecture

Data engineering

Microsoft technologies

Performance tuning

HA/DR knowledge

Education

Bachelor’s degree in computer science, electronics, or mechanical engineering

Tools

Monitoring tools

Backups and recovery tooling

Job description

Lam Research is hiring a Data Architect in Fremont, CA, to design, develop, and troubleshoot software tools that support design, infrastructure, and technology platforms, ensuring hardware-software integration.

You will work within Lam’s centralized software engineering team, impacting the entire product portfolio of equipment and collaborating with top engineers. The role requires strong data modeling, data flow management, and production system support in a fast-paced environment.