Principal Solutions Architect
Role details
Job location
Tech stack
Job 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., * 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
Requirements
- 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.
Benefits & conditions
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.