- Senior
Join FreshDirect's Data Warehouse & Business Intelligence Team in Istanbul
FreshDirect has been New York's most trusted online grocery brand for over 20 years. Our name is synonymous with quality across the city, and our delivery trucks are a familiar sight in every neighborhood. As a sponsor of the New York Yankees, we are proudly woven into the fabric of New York City and its culture.
Job Summary:
We are looking for a GCP Cloud Data Architect who brings together deep expertise in BigQuery-based enterprise data warehousing, hands-on AI/ML experience using Vertex AI, and a strategic mindset for modern data architecture such as Data Mesh and governance frameworks. This role is critical to our vision of building AI-native, real-time eCommerce platforms where intelligent agents and conversational AI drive customer interactions.
You will also lead cloud migration strategies, transforming legacy data platforms into scalable, governed, and AI-enabled solutions on GCP.
Key Responsibilities:
- Design and implement enterprise data warehouse solutions on GCP using BigQuery, Cloud Storage, Dataflow, and other native services.
- Architect and execute cloud migration plans, including assessment of legacy systems, re-platforming, and phased cutovers to GCP.
- Lead adoption of Data Mesh architecture—enabling domain-oriented data ownership, self-service analytics, and interoperable data products.
- Define and enforce data governance standards—including data quality, metadata management, access controls, lineage, and stewardship using tools like Dataplex, Data Catalog, or Collibra.
- Design and operationalize Vertex AI-based solutions for ML model training, serving, and integration into eCommerce use cases like personalization and recommendations.
- Build and deploy agentic AI systems that act autonomously in real time to support dynamic shopping experiences (e.g., product Q&A, price adjustments, guided discovery).
- Develop Conversational AI capabilities (e.g., using Dialogflow CX and LLM integrations) to power real-time customer support and engagement via chat or voice interfaces.
- Collaborate across engineering, data, ML, product, and UX teams to drive scalable AI-powered data solutions.
- Ensure architecture aligns with business goals while meeting performance, compliance, and security requirements.
- Provide mentorship and technical guidance across teams in best practices for GCP, AI, and modern data management.
Required Qualifications:
- 8-10+ years of data architecture experience, with 3+ years focused on Google Cloud Platform.
- Strong expertise with BigQuery, including performance tuning, partitioning, clustering, and cost optimization.
- Proven experience in cloud migration from on-prem or other cloud data platforms to GCP.
- Experience implementing or contributing to Data Mesh principles in enterprise settings.
- Demonstrated knowledge of data governance, metadata management, cataloging, and access control across distributed environments.
- Practical experience deploying ML solutions using Vertex AI, including AutoML, custom model deployment, and MLOps.
- Working experience with Conversational AI and agentic systems—including LLMs, autonomous workflows, or goal-based agents.
- Proficiency in GCP native services like Pub/Sub, Cloud Functions, Cloud Composer, Dataplex, Looker, and IAM.
- Strong communication, leadership, and documentation skills.
Preferred Qualifications:
- Experience in eCommerce or retail data and AI 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 tools, lineage tracking, or real-time observability stacks.
