Data Architect

Lam Research•Fremont, CA

1d•$166,000 - $350,000•Hybrid

About The Position

The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes. The impact you’ll make As a Software Engineer at Lam, you will be at the forefront of innovation by designing, developing, troubleshooting, and debugging software programs. Your role is pivotal in developing software tools that support design, infrastructure, and technology platforms. Your expertise will determine hardware compatibility and influence design, ensuring seamless integration between software and hardware. In this role, you’ll make an impact across Lam’s entire product portfolio of equipment working within our centralized software engineering team, collaborating with some of the brightest minds in the industry.

Requirements

Bachelor’s degree in computer science, Electronics, Mechanical Engineering with 15+ years of experience; or Master’s degree with 12+ years’ experience; or a PhD with 8+ years’ experience; or equivalent experience.
8+ years of experience in data architecture, data engineering, or similar roles, with at least 5 years specializing in Microsoft technologies.
Experience with Performance Tuning and Optimization (PTO), using native monitoring and troubleshooting tools.
Experience with backups, restores and recovery models.
Knowledge of High Availability (HA) and Disaster Recovery (DR).
Excellent written and verbal communication.
Flexible, team player, “get-it-done” personality.
Ability to organize and plan work independently.
Ability to work in a rapidly changing environment.
Ability to multi-task and context-switch effectively between different activities, systems, and teams.

Responsibilities

Manage data flows and data warehouses through multiple product lifecycle environments, from development to mission-critical production systems.
Configure and maintain data servers and processes, including monitoring of system health and performance, to ensure high levels of performance, availability, and security.
Apply data modeling techniques to ensure development and implementation support efforts meet integration and performance expectations.
Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end.
Refine and automate regular processes, track issues, and document changes.
Assist developers with complex query tuning and schema refinement.
Provide support for critical production systems.
Perform scheduled maintenance and support release deployment activities after hours.
Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.