Xebia · 2 months ago
GCP Data & AI Architect
Atlanta, GA
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expXebia is a full-service digital consulting company with over 20 years of experience in delivering cutting-edge technology solutions. The GCP Data & AI Architect will lead Tech Presales and design cloud-native data and AI solutions, acting as a trusted advisor to clients throughout their GCP data and AI journey.
AnalyticsBig DataCloud ComputingConsultingDevOpsGenerative AIInformation TechnologyRobotic Process Automation (RPA)Software
Responsibilities
Design end-to-end GCP data and AI architectures, including data ingestion, storage, processing, analytics, and ML deployment
Architect and implement data lakes, lakehouses, and data warehouses using GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub
Define AI/ML pipelines leveraging Vertex AI, AI Platform, TensorFlow, and AutoML for scalable model training and deployment
Integrate data governance, lineage, and observability frameworks using Data Catalog, Dataplex, and Cloud Composer
Develop reference architectures, blueprints, and best practices for GCP-based data and AI solutions across global delivery teams
Lead data modernization initiatives, migrating on-premise or legacy data systems to GCP
Design real-time and batch data pipelines using Dataflow (Apache Beam) and Pub/Sub for streaming analytics
Optimize BigQuery performance and cost efficiency through partitioning, clustering, and query optimization
Collaborate with DevOps teams to automate infrastructure provisioning using Terraform, Deployment Manager, or Cloud Build
Ensure data quality, reliability, and scalability across all data layers
Architect AI/ML solutions using Vertex AI pipelines, integrating with BigQuery ML and TensorFlow Extended (TFX) for production-grade deployments
Implement MLOps frameworks for continuous integration, delivery, and monitoring of ML models
Develop custom AI solutions for NLP, computer vision, predictive analytics, and generative AI use cases
Collaborate with data scientists to operationalize models and ensure explainability, fairness, and compliance
Integrate AI models into enterprise applications using APIs, Cloud Functions, and microservices architectures
Define and enforce data governance and security frameworks aligned with corporate and regulatory standards (GDPR, HIPAA, CCPA)
Implement IAM policies, VPC Service Controls, and encryption mechanisms to ensure data protection
Establish AI governance frameworks for model lifecycle management, bias detection, and ethical AI practices
Conduct architecture reviews and compliance assessments to ensure adherence to GCP best practices and client requirements
Partner with client executives and technical stakeholders to define data and AI strategies on GCP
Lead discovery workshops, architecture assessments, and proof-of-concept (POC) engagements
Support pre-sales activities, including RFP responses, solution proposals, and technical presentations
Provide technical leadership to global delivery teams, ensuring consistent architecture implementation
Act as a GCP evangelist, promoting adoption of cloud-native AI and data analytics capabilities
Stay updated on GCP product releases, AI research, and industry trends to drive innovation
Develop accelerators, reusable assets, and frameworks to enhance delivery efficiency
Mentor engineers and architects, building organizational capability in GCP data and AI technologies
Collaborate with Google Cloud’s partner ecosystem for joint go-to-market and innovation initiatives
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
10+ years in data and AI architecture, with at least 5 years focused on GCP solutions in enterprise or SI environments
Data Services: BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Dataplex, Data Catalog
AI/ML Services: Vertex AI, AI Platform, TensorFlow, AutoML, BigQuery ML
Integration & Orchestration: Cloud Composer, Cloud Functions, Cloud Run, API Gateway
Infrastructure: GKE, Terraform, Cloud Build, IAM, VPC, Cloud Security Command Center
Programming: Python, SQL, Java, Scala
MLOps Tools: MLflow, Kubeflow, TFX, CI/CD pipelines
Strong client communication, stakeholder management, and cross-functional collaboration abilities
Preferred
Google Cloud Professional Data Engineer
Google Cloud Professional Machine Learning Engineer
Google Cloud Professional Cloud Architect
Benefits
Medical, Dental and Vision Insurance (Subsidized)
Flexible Spending Accounts (Healthcare and Dependent Care)
Short-Term and Long-Term Disability
Life and AD&D Insurance
Assistance Program
Matched 401(k) Retirement Savings Plan
Paid Time Off
Company
Xebia
Xebia is specialist op het gebied van Agile, Test Automation, Continuous Delivery, Architecture en Modern Software Development
1001-5000 employees
H1B Sponsorship
Xebia has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (24)
2023 (35)
2022 (23)
2021 (10)
2020 (9)
Funding
Current Stage
Late StageLeadership Team
Tobias Wagner
Global Chief Financial Officer
Keith Landis
Chief Marketing Officer
Recent News
Hindu Business Line
2025-12-24
2025-11-13
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