Principal Solutions Architect

Role Description

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.

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.

Qualifications

• 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).

Requirements

• 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.

Benefits

• Competitive compensation.
• Generous benefits package, including full health insurance (medical, dental, and vision).
• 401(k) plan.
• Life insurance.
• Disability benefits.

Company Description

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.