Staff Software Engineer- Data Insights & BI Reporting

Description
The Team:
The GPSC (Global Purchasing & Supply Chain IT) Insights and Operational Reporting team is responsible for sourcing, integrating, curating and presenting consistent data and services for Purchasing, Supply Chain and Logistics performance management, supply network & supplier management. Analytic services that support Supplier Performance Management, Supplier Engagement, Source ability Reports, Material Performance reporting, Contract savings, Materials Planning, Integrated vehicle order data, financial cost reporting, Finished Vehicle logistics reporting, and Continuous ASN data transmission.
The Role:
We are looking for a hands-on and forward-thinking Staff Software Engineer with strong software engineering expertise to lead building scalable, high-performance cloud data solutions. This role blends data sourcing and analytics leadership with software engineering best practices to deliver resilient, well-architected solutions that power analytics, AI/ML, and business decision-making across Global Purchasing and Supply Chain.
What You'll Do (Responsibilities):
Technical Leadership

• Architect, implement, and maintain batch and real-time data pipelines using cloud-native technologies (e.g., Databricks, Snowflake, Kafka, Spark).
• Apply software engineering principles such as modular design, unit/integration testing, CI/CD, and version control to all data engineering efforts.
• Drive the design and delivery of scalable APIs and microservices that enable downstream data access and integration.
• Oversee the development of reusable frameworks, libraries, and platform services to accelerate data product delivery across domains.
• Champion DevOps and DataOps practices including observability, infrastructure-as-code, automated deployments, and incident management.
• Collaborate with data product owners, architects, and business stakeholders to define technical strategy and delivery roadmaps.
• Foster a strong engineering culture focused on code quality, collaboration, continuous learning, and technical excellence.
• Demonstrate the ability to translate complex requirements into functional, secure, reliable, observable and serviceable architectures and solutions.
• Exposure to different project methodologies including Agile software development and cloud-based implementation frameworks.

Team Leadership

• Provide strategic direction and day-to-day leadership to a diverse team of technical professionals, ensuring alignment with organizational goals and priorities.
• Role model and motivated learner who actively mentors and sponsors others and participates in in solution delivery.
• Proactively identify and remove roadblocks to ensure timely delivery of engineering milestones and team success.
• Resolve conflicts and foster collaboration across teams, adapting communication styles to influence and align stakeholders.

Your Skills & Abilities (Required Qualifications):

• Bachelor's degree (or higher) in Computer Science, Software Engineering, Data Engineering, or related field
• 10+ years of experience in software/data engineering, including 3+ years in a technical leadership role
• Demonstrated experience in Microservices, Data Streaming, Big Data, Cloud solution architectures
• Hands-on expertise with AWS/Azure/GCP/Kubernetes
• Working knowledge of Open API and OAuth
• Working knowledge of Hadoop, Spark, Object Storage (ADLS/S3), Event Queues, Databricks
• Demonstrated knowledge and implementation experience of Data Streaming architectures and design principles
• Proven experience with distributed systems and data processing frameworks (e.g., Spark, Flink)
• Strong programming skills in Python, Java, or Scala and experience with modern software development practices
• Expertise in CI/CD tooling, testing strategies, infrastructure automation (Terraform, CloudFormation), and containerization (Docker, Kubernetes)
• Solid understanding of data modeling, data governance, and performance optimization
• Excellent interpersonal, communication, and stakeholder management skills

What Will Give You A Competitive Edge (Preferred Qualifications):

• Experience leading teams through cloud migrations, data mesh or Lakehouse transformations
• Familiarity with AI and Machine Learning infrastructure, MLOps, or real-time streaming architectures
• Knowledge of modern software architecture patterns such as microservices, domain-driven design (DDD), and event-driven architecture

#LI-DH2
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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}.
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.