Brief Description
About Us
At FreshDirect, 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, , 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.
Position Summary
As a Senior Google Cloud Platform 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.
Location: Based out of NY/NJ Office
What You’ll Do
- Design and implement enterprise data warehouse solutions on Google Cloud Platform using BigQuery, Cloud Storage, Dataflow, and other services.
- Lead cloud migration strategies, including assessment, re-platforming, and phased cutovers to Google Cloud Platform.
- 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 Google Cloud Platform best practices, AI/ML deployment, and modern data management.
What You’ll Bring
- 8–10+ years of data architecture experience, including 3+ years on Google Cloud Platform.
- Deep expertise in BigQuery (performance tuning, partitioning, clustering, cost optimization).
- Proven experience with cloud migrations from on-prem or other cloud platforms to Google Cloud Platform.
- 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 Google Cloud Platform services: Pub/Sub, Cloud Functions, Cloud Composer, Dataplex, Looker, IAM.
- Excellent communication, leadership, and documentation skills.
Preferred Qualifications:
- Experience in eCommerce or retail data use cases (personalization, inventory forecasting, customer segmentation).
- Google Cloud Platform 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.
Why You’ll Love Working Here
- Work on cutting-edge Google Cloud Platform cloud and AI architectures powering a leading eCommerce platform.
- Collaborate with a cross-functional team solving high-impact, real-time data problems.
- Opportunity to design scalable data and AI products influencing millions of customers.
- Exposure to state-of-the-art fulfillment operations and large-scale datasets.
- Culture that encourages innovation, learning, and professional growth.
Salary Range: $185,000 - $225,000.
Total Rewards & 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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