.Sector: Construction and Building ServicesRole: ProfessionalContract Type: PermanentHours: Full TimeWhat You'll Do:Part of Criteo internal IT department, we are actively looking for an IT Data Architect ready to explore new frontiers in our Unified Data Platform tribe (UDP).Within IIT, Unified Data Platform tribe's mission statement stands in one ambition: make Criteo Corporate data available on demand, on a trustworthy and intelligent single place of truth, serving a wide range of stakeholders, for leaders to meet data-driven decisions and business operators to drive their activities with fresh & accurate insights.Following a "Data as a Product" strategy (DaaP), UDP tribe aims at building the best-in-class Data Platform, leveraging Azure & Databricks technologies by deploying a medallion approach (bronze/silver/gold layers) that aims at providing following services:Ingestion/storage/compute/serve Azure Databricks features, enabling data modelization, processing, automation and advanced services such as machine learning and AI.Data Quality services portfolio with main objectives:identify/refine data quality issues and propose relevant alerting services.platform monitoring services aiming at detecting in real time any integration/computation/processing failures and immediately alert.Data documentation services, leveraging Databricks Unity Catalog & MS Purview. These tools aim at providing metadata on data assets, such as ownership, access policy, classification, lineage in partnership with our internal Data Governance team.Analytics in self-services to enable AX population within Criteo to access qualified and trustworthy data sets to maximize their reporting & insight capability.What does IT Data Architect mission look like?The IT Data Architect is expected to:Define and implement data modeling standards and best practices.Propose, promote & specify conceptual, logical, and physical data models for data engineers to develop on our platform.Partner with various data stakeholders, from enterprise architects, data engineers to business analysts to understand and translate business requirements into DaaP data models.Ensure data models are scalable, flexible, and support data governance & data quality requirements, including data lineage & stewardship.Participate in the design and implementation of a data mesh approach.Collaborate with Enterprise Architecture and Data Governance teams to integrate business rules and quality checks.Present and advocate for data lifecycle, modeling scenarios and solutions.Support change management efforts through education, acculturation, and training.Who You Are:If you match several of the following capabilities, then no brainer, just apply!!At least 7+ years of technical experience in data modeling (ETL, governance, quality, architecture, UML, Standard Dev languages such as Python, NoSQL, ...)