Data Governance Leader – Hybrid Role with Impact

KPMG Italy in Milan seeks a Data & AI professional to deliver advanced analytics, ML, and governance solutions within the Lighthouse Team. You will contribute to data cataloging, data product lifecycles, and cloud-based data platforms, while collaborating across hybrid work environments.

The role emphasizes Python, SQL, data pipelines, and integration of visualization tools, with a focus on scalable, compliant data solutions for real-world business use cases.

Implementation and configuration of Data Catalog/Data Marketplace solutions, with experience in technologies such as Atlan, Zeenea, Collibra, Microsoft Purview, Alation, Informatica EDC/IDMC, DataHub and OpenMetadata. Metadata modelling and management, including Business Glossary, Business Terms, metadata models, ownership, stewardship, lineage, classification and certification. Supporting the design and implementation of Data Governance processes, translating roles, responsibilities, policies and processes into workflows within governance tools. Metadata management and Data Product lifecycle management, including the definition of domains, owners, SLA/SLOs and relationships between assets. Configuration of workflows, roles, stewardship processes and application integrations through REST APIs, webhooks, Python and SQL, including IAM integrations with Microsoft Entra ID/Azure AD. Data Contracts and metadata automation, with knowledge of ODCS, YAML/JSON, and automation of metadata generation, validation and synchronization. Data Quality and Data Observability, with experience or knowledge of dbt, Soda and Great Expectations. Strong knowledge of SQL and major databases and analytical engines. Experience designing and implementing ETL/ELT data pipelines and data modelling for analytical purposes. Knowledge of key data management principles, including data modelling, data quality, metadata & lineage, lakehouse architectures and cloud-native architectures. Familiarity with orchestration and pipeline frameworks (dbt, Apache Airflow, Azure Data Factory, AWS Glue, Fabric Pipelines). Experience with distributed environments and big data technologies (Apache Spark, Delta Lake, Parquet, Kafka / Pub-Sub). Experience integrating serving and visualization layers (Power BI, Qlik, Tableau, Looker) as part of data pipelines. Hybrid working arrangements Advanced training & development International projects & exposure Well-being initiatives