Manager - Data Architect

Who we areWe are a multinational management consulting Group, a leader in the analysis and design of Governance, Organization, and Control models.We support our clients in exploring new opportunities for development and value growth by identifying risks and defining the best management and control strategies.We have an international presence with more than 85 offices and 11,000 employees worldwide.In Italy, we have been operating since **** with over 500 professionals.As a sign of our concrete commitment to sustainability and gender equality, we are proud to have been awarded theGold Medal by EcoVadisand to be certifiedUNI/PdR 125:****.Who we are looking forManager - Data & AI ArchitectWe are looking for an experiencedData & AI Architectto design, implement, and evolve enterprise data platforms and AI-driven architectures across multi-cloud environments.The ideal candidate has a strong background indata engineering, analytics, and cloud technologies, with hands-on experience across the full data lifecycle — from ingestion and modeling to AI/ML enablement.You will act as atechnical leaderin complex projects, guiding cross-functional teams, engaging directly with clients, and shaping solutions that integrate structured and unstructured data into robust, scalable architectures.Key Responsibilities: Architect and designend-to-end Data and AI solutions acrossAzure, AWS, or GCPenvironments.Lead thedefinition and modeling of data flows(ETL/ELT, streaming, batch) for ingestion, transformation, and analytics.Define and implementdata governance, quality, and security frameworks(e.g., lineage, cataloging, compliance).Collaborate with clients tocollect business and technical requirementsand translate them into scalable data architectures.Supervise and manage technical teams, providing mentorship and ensuring adherence tobest practices and architectural standards.SupportAI and ML enablementby providing reliable, high-quality data pipelines for model training and operationalization.Drive themigration and modernizationof legacy DWH and Big Data systems toward modern data lakehouse platforms.Leadproofs of concept (PoCs)and solution assessments for data and AI initiatives.Collaborate with DevOps and Cloud Engineering teams to optimizeCI/CD and data orchestration(Airflow, Composer, Jenkins).Technical Stack: Cloud Platforms:Azure, AWS or Google.Big Data & Processing:Databricks, Spark (PySpark, Scala), Cloudera CDP, Hive/Impala, Kafka.ETL & Data Integration:Talend, Informatica PowerCenter, SAP Data Services, Oozie, Airflow.Databases:Oracle, PostgreSQL, MongoDB, MySQL, SQL Server, BigQuery.Languages:SQL, PL/SQL, Python, PySpark, Shell scripting, Java, Scala.Tools & Frameworks:Docker/Kubernetes, Git, Bitbucket, Bamboo, Jenkins.Qualifications: At leastBachelor's degreein Computer Engineering, Information Technology, or related fields.8+ yearsof experience in Data Architecture, BI, and Big Data environments.Proven experience designingdata lake / data warehouse / lakehousearchitectures.Strong understanding ofdata modeling, ETL/ELT design, andreal-time data integration.Solid knowledge ofAI & Machine Learning enablementwithin data ecosystems.Excellent problem-solving and communication skills, with the ability to engage with technical and non-technical stakeholders.Certifications inAzure Data Engineer, Cloudera, Talend, or AWS/GCP Dataare highly desirable.Nice to Have: Experience indata science and predictive modeling(e.g., SageMaker, Databricks ML).Familiarity withstreaming analytics and event-driven architectures(Kafka, Pub/Sub).Exposure todata mesh, governance frameworks, and metadata management tools.Protiviti is an equal opportunity employer that values diversity and inclusion.Our selection process is merit-based and free from any form of direct or indirect discrimination, in full compliance with the highest international standards and applicable laws (including but not limited to Law No. ******).Note to third parties:Protiviti is not seeking or accepting any unsolicited assistance from headhunting firms or employment agencies at this time.