Sr. GCP Cloud Data Architect
About The Position
As a Senior GCP Cloud Data Architect - BigQuery, AI, Data Governance & Mesh, you will lead the design, architecture, and implementation of FreshDirect's cloud-native data platform. This role drives enterprise data architecture, cloud migration, data governance, and AI/ML initiatives across our omnichannel retail ecosystem. You will enable: Advanced Supply Chain Intelligence through scalable data lakes, real-time inventory streams, and ML-powered forecasting. Customer 360 & Personalization using transactional, behavioral, and preference data to deliver personalized experiences at scale. Real-Time Operational Intelligence with event-driven architectures to optimize fulfillment, inventory, and KPIs. Strategic Data Products via semantic layers, governance frameworks, and Data Mesh principles to ensure reliable, scalable insights. Your expertise will directly influence how FreshDirect leverages data as a competitive advantage, impacting millions of customers across New York.
Requirements
- 8-10+ years of data architecture experience, including 3+ years on GCP.
- Deep expertise in BigQuery (performance tuning, partitioning, clustering, cost optimization).
- Proven experience with cloud migrations from on-prem or other cloud platforms to GCP.
- Knowledge of Data Mesh principles and enterprise adoption.
- Strong understanding of data governance, metadata management, cataloging, and access control.
- Hands-on experience deploying Vertex AI ML solutions, including AutoML, custom models, and MLOps.
- Experience with Conversational AI, agentic systems, or autonomous workflows.
- Proficiency in GCP services: Pub/Sub, Cloud Functions, Cloud Composer, Dataplex, Looker, IAM.
- Excellent communication, leadership, and documentation skills.
Nice To Haves
- Experience in eCommerce or retail data use cases (personalization, inventory forecasting, customer segmentation).
- GCP certifications: Professional Cloud Architect, Data Engineer, or Vertex AI Engineer.
- Familiarity with generative AI, RAG, or LLM fine-tuning.
- Hands-on experience with data quality, lineage tracking, or real-time observability tools.
Responsibilities
- Design and implement enterprise data warehouse solutions on GCP using BigQuery, Cloud Storage, Dataflow, and other services.
- Lead cloud migration strategies, including assessment, re-platforming, and phased cutovers to GCP.
- Drive adoption of Data Mesh architecture, enabling domain-oriented data ownership and self-service analytics.
- Define and enforce data governance standards (quality, metadata, access, lineage, stewardship) using Dataplex, Data Catalog, or Collibra.
- Architect and operationalize Vertex AI solutions for ML model training, serving, and eCommerce integration.
- Build agentic AI systems for autonomous workflows, real-time personalization, and guided discovery.
- Develop Conversational AI capabilities (Dialogflow CX, LLM integrations) for customer support and engagement.
- Collaborate with engineering, data, ML, product, and UX teams to deliver scalable AI-powered solutions.
- Ensure architectures align with business goals, compliance, and performance standards.
- Mentor teams on GCP best practices, AI/ML deployment, and modern data management.
Benefits
- Competitive compensation, equity, and comprehensive benefits.
- PTO, Safe & Sick Time, Paid Holidays.
- Medical, Dental, Vision, Life Insurance, and Voluntary Disability coverage.
- 401(k) with employer match.
- On-site amenities including gym, cafeteria, parking, and shuttle services.
- Professional development programs, tuition assistance, and mentorship opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Securities, Commodity Contracts, and Other Financial Investments and Related Activities
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
