• 5+ years of experience required on data architecture (order matters): o Hands-on experience in defining and implementing data mesh principles across multiples domains o Proven expertise in dimensional modeling (Star and Snowflake schema). o In-depth knowledge and hands-on experience with Data Vault 2.0 modeling. o Experience designing enterprise data architecture using modern lakehouse, dalalake and warehouse patterns. o Proficient in designing logica, physical, and canonical data models aligned with business domains. o Experience working with metadata management and catalogs. o Strong knowledge of master data management MDM, data lineage and data governance best practices. o Knowledge of data privacy regulations and secure data architecture design. • Technical Proficiency in: o Python expert. o Open Format Table expert (Delta lake or Iceberg or Hudi). o Azure / GCP cloud professional data architect certification. o GCP Dataplex expert. o Databricks Unity Catalog expert. o Spark y/o Flink expert.