Principal Solutions Architect

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)

Additional Qualifications

• 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