FreshDirect
Description
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.
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.