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# Principal Solutions Architect

- **Company:** GXO Logistics
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, BigQuery, Cloud Computing, Cloud Storage, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, DevOps, Data Flow Control, Github, Identity and Access Management, Python (Programming Language), Performance Tuning, Cloud Services, Cloudera, Software Configuration Management, Data Streaming, Data Logging, Sql Optimization, Large Language Models, Snowflake, Multi-Agent Systems, Pandas, Pyspark, Kubernetes, Information Technology, Collibra, HuggingFace, Star Schema, Apache Kafka, Data Management, Domain Driven Design, Docker
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=be3d9d530b64e81a

## About the Role

Do you have experience in System tuning?, Do you have a Bachelor's degree?, 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., * 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.

## Description

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


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