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General Motors

Staff Software Engineer - Data

Posted An Hour Ago
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Hybrid
Sunnyvale, CA
185K-285K Annually
Senior level
Hybrid
Sunnyvale, CA
185K-285K Annually
Senior level
The Staff Software Engineer will lead technical direction on data architecture, optimize data processes, and mentor teams within GM Commerce to enhance system performance and scalability.
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Description
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to Sunnyvale or Mountain View, CA three times per week, at minimum or other frequency dictated by the business.
The Role
General Motors is seeking a Staff Software Engineer for Data to provide technical leadership and architectural direction across engineering pillars that support GM Commerce. This role will be responsible for defining, influencing, and driving the long-term technical vision of our platform related to data to ensure scalability, performance, and innovation.
As a senior technical leader, you will partner with engineering managers, other engineers, and cross-functional stakeholders to establish the technical bar, enable the adoption of modern engineering practices, and deliver high-quality, customer-focused solutions. You will be expected to provide architectural guidance, conduct design/code reviews, and mentor engineering talent across multiple teams.
What You'll Do
• Define and evolve Data Model, Schema for various entities in eCommerce systems, specially for Digital and Physical Item
• Optimize data flow and ETL processes across different systems
• Define data governance, compliance and data integrity across various systems
• Establish methodology to maintain data quality
• Performance tuning of SQL queries and ETL processes
• Drive consistent adoption of modern engineering practices, ensuring solutions are secure, scalable, and resilient.
• Guide cloud-native architecture patterns leveraging Java, React, TypeScript, and modern AI/ML technologies.
• Provide technical direction and architectural guidance to engineering managers and staff engineers across all pillars.
• Serve as a trusted advisor for critical design decisions, technology adoption, and integration strategies.
• Partner with product and business stakeholders to align technical strategies with long-term business outcomes.
• Champion engineering best practices including CI/CD pipelines, observability, performance optimization, and automation.
• Ensure adherence to coding standards, design patterns, and maintainable architecture across diverse teams.
• Drive modernization initiatives such as legacy migrations and adoption of containerized, cloud-native approaches.
• Mentor and grow senior technical talent, raising overall engineering maturity.
• Foster alignment and collaboration across globally distributed engineering organizations.
• Influence leadership beyond engineering by advocating for innovation, technical investments, and platform scalability.
Your Skills & Abilities (Required Qualifications)
• Bachelor's degree in Computer Science or a related field.
• 7+ years of software engineering experience, with at least 5 years in a principal, staff, or architect-level role.
• Extensive experience in architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems.
• Proficiency in Data Technologies - RDBMS, noSQL, Kafka, Stream processing, Spark, Python, BASH.
• Experience in one of the JVM languages, Java / Kotlin + SpringBoot.
• Proven success designing and scaling distributed, cloud-native systems and experience with at least one of the public cloud providers Azure, AWS, GCP.
• Strong understanding of security, observability, performance, and high-availability architectures.
• Demonstrated ability to influence at the organizational level, not just at the team level.
• Experience guiding multiple product areas or platforms within a large-scale, multi-pillar environment.
• Excellent communication and collaboration skills, with the ability to work.
effectively with both engineers and executives.• A passion for staying up-to-date with the latest industry trends and technologies.
What Will Give You a Competitive Edge (Preferred
Qualifications)
• Master's degree in Computer Science or a related field.
• 10+ years of software engineering experience.
• Experience launching microservice eCommerce features or platforms.
• Hands-on experience with ETL, data model, observability with Datadog.
• Experience in Auto Industry and Item catalog.
• Knowledge of international market in commerce domain is a big Plus.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
  • The salary range for this role is ($185,000 - $285,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
#LI-SA2
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

Bash
Datadog
Java
Kafka
Kotlin
NoSQL
Python
Spark
Spring Boot
SQL

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