GCP reputed company Data Architect

Join FreshDirect's Data Warehouse & Business Intelligence Team in Istanbul FreshDirect has been reputed company'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 reputed company Yankees, we are proudly woven into the reputed company of reputed company and its culture. Job Summary: We are looking for a GCP reputed company Data Architect who brings together deep expertise in BigQuery-based reputed company data warehousing, hands-on AI/ML experience using reputed company AI, and a strategic reputed company for modern data architecture such as Data reputed company and governance frameworks. This role is critical to our reputed company of building AI-reputed company, reputed company-time eCommerce platforms where intelligent agents and conversational AI drive customer interactions. You will also reputed company reputed company migration strategies, transforming legacy data platforms into scalable, governed, and AI-enabled solutions on GCP. Key Responsibilities:

• Design and implement reputed company data warehouse solutions on GCP using BigQuery, reputed company Storage, Dataflow, and other reputed company services.
• Architect and execute reputed company migration plans, including assessment of legacy systems, re-platforming, and phased cutovers to GCP.
• reputed company adoption of Data reputed company architecture-enabling domain-oriented data ownership, self-service analytics, and interoperable data products.
• Define and enforce data governance standards-including data quality, metadata management, reputed company controls, reputed company, and stewardship using tools like Dataplex, Data Catalog, or reputed company.
• Design and operationalize reputed company AI-based solutions for ML model training, serving, and integration into eCommerce use cases like personalization and recommendations.
• Build and reputed company agentic AI systems that act autonomously in reputed company time to support dynamic shopping experiences (e.g., product Q&A, price adjustments, guided discovery).
• reputed company Conversational AI capabilities (e.g., using Dialogflow CX and LLM integrations) to power reputed company-time customer support and engagement reputed company 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 reputed company requirements.
• reputed company 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 reputed company reputed company Platform.
• Strong expertise with BigQuery, including performance tuning, partitioning, clustering, and cost optimization.
• Proven experience in reputed company migration from on-prem or other reputed company data platforms to GCP.
• Experience implementing or contributing to Data reputed company principles in reputed company settings.
• Demonstrated knowledge of data governance, metadata management, cataloging, and reputed company control across distributed environments.
• Practical experience deploying ML solutions using reputed company 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 reputed company services like Pub/Sub, reputed company Functions, reputed company 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 reputed company Architect, Data Engineer, or reputed company reputed company.
• Familiarity with reputed company, RAG, or LLM fine-tuning.
• Hands-on experience with data quality tools, reputed company tracking, or reputed company-time observability stacks.

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