Job description

Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of. Are you ready to take your career to the next level with a rapidly growing global company? As the Principal Solutions Architect you will be responsible for translating enterprise data strategy into scalable, secure, and high-performing architecture solutions. This role partners with data leadership to shape architectural direction and leads the design of modern cloud-native data platforms that enable analytics, AI/ML, and data democratization. If you’re looking for an exciting opportunity with a dynamic company, join us at GXO. Pay, benefits and more. We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more. What you’ll do on a typical day: • Contribute to and evolve enterprise data architecture strategy by providing deep technical expertise and aligning architectural decisions to business priorities • Translate complex business requirements into scalable, secure, and cost-optimized cloud-native architectures using GCP and Snowflake • Develop and promote adoption of enterprise architecture standards, reference architectures, governance models, and best practices across global teams • Design and guide implementation of modern data platforms supporting batch, streaming, analytics, AI/ML, and agentic workflows (LLMs, RAG, orchestration frameworks) • Partner with engineering, product, data science, and business stakeholders to inform and influence roadmap priorities and ensure alignment with enterprise strategy What you need to succeed at GXO: At a minimum, you’ll need: • Bachelor’s or higher degree in Computer Science, Data Science, or equivalent related work or military experience • 5 years of experience in data engineering, data architecture, and cloud solution design • 5 years of hands-on experience building cloud-native data platforms on GCP and/or Snowflake • Deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, IAM, Cloud Storage, monitoring/logging) • Strong Snowflake expertise (Tasks, Streams, Resource Monitors, clustering, performance tuning via Snowsight/Query Profile) • Advanced SQL and strong Python skills (PySpark, Pandas), plus API integration experience • Experience with event-driven and streaming architectures (Kafka and/or Pub/Sub) • Strong data modeling expertise (star/snowflake schemas, domain-driven design) and experience with dbt and data catalog tools (Collibra or Alation) • Experience with Airflow/Cloud Composer DAG development and CI/CD pipelines using GitHub/GitHub Actions • Strong understanding of enterprise data governance and security (GDPR, CCPA, IAM, encryption/KMS, policy tags) It’d be great if you also have: • Experience with LLM/agent frameworks (Vertex AI, LangChain, Hugging Face) and RAG patterns • Familiarity with vector databases (Pinecone, FAISS) • Experience with Docker and Kubernetes • Knowledge of DevOps practices including testing frameworks and repository management We engineer faster, smarter, leaner supply chains. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity employer including Disabled/Veterans. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

Requirements

Must-haves

Logistics at full potential.
Pay, benefits and more.
Contribute to and evolve enterprise data architecture strategy by providing deep technical expertise and aligning architectural decisions to business priorities
Translate complex business requirements into scalable, secure, and cost-optimized cloud-native architectures using GCP and Snowflake
Develop and promote adoption of enterprise architecture standards, reference architectures, governance models, and best practices across global teams
Design and guide implementation of modern data platforms supporting batch, streaming, analytics, AI/ML, and agentic workflows (LLMs, RAG, orchestration frameworks)
Partner with engineering, product, data science, and business stakeholders to inform and influence roadmap priorities and ensure alignment with enterprise strategy
Bachelor’s or higher degree in Computer Science, Data Science, or equivalent related work or military experience
5 years of experience in data engineering, data architecture, and cloud solution design
5 years of hands-on experience building cloud-native data platforms on GCP and/or Snowflake
Deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, IAM, Cloud Storage, monitoring/logging)
Strong Snowflake expertise (Tasks, Streams, Resource Monitors, clustering, performance tuning via Snowsight/Query Profile)
Advanced SQL and strong Python skills (PySpark, Pandas), plus API integration experience
Experience with event-driven and streaming architectures (Kafka and/or Pub/Sub)
Strong data modeling expertise (star/snowflake schemas, domain-driven design) and experience with dbt and data catalog tools (Collibra or Alation)
Experience with Airflow/Cloud Composer DAG development and CI/CD pipelines using GitHub/GitHub Actions
Strong understanding of enterprise data governance and security (GDPR, CCPA, IAM, encryption/KMS, policy tags)
Experience with LLM/agent frameworks (Vertex AI, LangChain, Hugging Face) and RAG patterns
Familiarity with vector databases (Pinecone, FAISS)
Experience with Docker and Kubernetes
Knowledge of DevOps practices including testing frameworks and repository management
We engineer faster, smarter, leaner supply chains.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

Nice-to-haves

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Application prep

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Keywords to mirror

aimlgcpsqlpythonapici/cdllmdockerkubernetes

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)