Principal Solutions Architect

GXO Logistics, Inc.

. Contribute to and evolve enterprise data architecture strategy by providing deep technical expertise and aligning architectural decisions to business priorities .

Posted 9/29/2026full-timeHouston • Texas • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing cloud-native data architectures using GCP and Snowflake, with a strong focus on data governance, security, and best practices. Proficient in advanced SQL, Python, and data modeling, while effectively collaborating with cross-functional teams to align technical solutions with business objectives.

Highest-signal resume keywords

GCP Services ExpertiseSnowflake ProficiencyCloud-Native Data Platform DevelopmentData Governance and SecurityData Engineering and Architecture Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud-Native ArchitectureAdvanced SQLPython ProgrammingData ModelingEvent-Driven ArchitecturesCI/CD PipelinesData GovernanceAPI IntegrationStreaming ArchitecturesData Catalog Tools

Tools & Technologies

GCPSnowflakeDockerKubernetesAirflowGitHubCollibraAlationKafkaVertex AI

Industry Keywords

Enterprise Data ArchitectureCloud Solution DesignGDPRCCPAIAMEncryptionPolicy TagsLLM FrameworksRAG PatternsDevOps Practices

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerGoogle Cloud PlatformKafkaKubernetesPandasPySparkPythonSQL

About the role

Key responsibilities & impact

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, including LLMs, RAG, and orchestration frameworks
Partner with engineering, product, data science, and business stakeholders to inform and influence roadmap priorities and ensure alignment with enterprise strategy

Requirements

What 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)
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
May be required to pass a pre-employment drug test after receiving a conditional offer
Must comply with GXO policies and applicable CDC, OSHA, state and local COVID safety requirements

Benefits

Comp & perks

Full health insurance (medical, dental and vision)
401(k)
Life insurance
Disability insurance
Competitive compensation
Generous benefits package