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
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