Sr. GCP Cloud Data Architect

At Fresh Direct
, we are reinventing the grocery experience. Since day one, our mission has been simple: bring the best, freshest food directly from the farm to people’s homes — faster, fresher, and smarter than anyone else.

We are not just a food company – we are a technology-powered, customer-obsessed team building the most innovative end-to-end food supply chain in the industry. From proprietary routing systems to our state-of-the‑art fulfillment center, every part of our business is designed to deliver unmatched quality, convenience, and care.

We partner directly with farmers, fishermen, and artisans to source the highest quality ingredients, then use smart data, automation, and logistics to get them to our customers’ doors at peak freshness. It’s grocery shopping reimagined — and we’re just getting started.

If you are passionate about innovation, care deeply about what people eat, and want to be part of a team doing what no one else is doing, come help us build the future of food.

As a Senior
GCP Cloud Data Architect – Big Query, AI, Data Governance & Mesh
, you will lead the design, architecture, and implementation of Fresh Direct’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 Fresh Direct leverages data as a competitive advantage, impacting millions of customers across New York.

Based out of NY/NJ Office

• Design and implement enterprise data warehouse solutions on GCP using Big Query, 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.

• 8–10+ years of data architecture experience, including 3+ years on GCP.
• Deep expertise in Big Query (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.

• 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,…