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 the Gold Medal by EcoVadis and to be certified UNI/PdR 125:**** .Who we are looking forManager - Data & AI ArchitectWe are looking for an experienced Data & AI Architect to design, implement, and evolve enterprise data platforms and AI-driven architectures across multi-cloud environments. The ideal candidate has a strong background in data 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 a technical leader in 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 design end-to-end Data and AI solutions across Azure, AWS, or GCP environments.Lead the definition and modeling of data flows (ETL/ELT, streaming, batch) for ingestion, transformation, and analytics.Define and implement data governance, quality, and security frameworks (e.g., lineage, cataloging, compliance).Collaborate with clients to collect business and technical requirements and translate them into scalable data architectures.Supervise and manage technical teams, providing mentorship and ensuring adherence to best practices and architectural standards .Support AI and ML enablement by providing reliable, high-quality data pipelines for model training and operationalization.Drive the migration and modernization of legacy DWH and Big Data systems toward modern data lakehouse platforms.Lead proofs of concept (PoCs) and solution assessments for data and AI initiatives.Collaborate with DevOps and Cloud Engineering teams to optimize CI/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 least Bachelor's degree in Computer Engineering, Information Technology, or related fields.8+ years of experience in Data Architecture, BI, and Big Data environments.Proven experience designing data lake / data warehouse / lakehouse architectures.Strong understanding of data modeling, ETL/ELT design , and real-time data integration .Solid knowledge of AI & Machine Learning enablement within data ecosystems.Excellent problem-solving and communication skills, with the ability to engage with technical and non-technical stakeholders.Certifications in Azure Data Engineer, Cloudera, Talend, or AWS/GCP Data are highly desirable.Nice to Have:Experience in data science and predictive modeling (e.g., SageMaker, Databricks ML).Familiarity with streaming analytics and event-driven architectures (Kafka, Pub/Sub).Exposure to data 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.