Teams at Lingaro

Design, build, and optimize GCP data ecosystems, including pipelines, data lakes, warehouses, storage architectures, and processing infrastructure. Gather requirements, model data, troubleshoot complex issues, tune performance, monitor systems, and support new functionality. Collaborate directly with clients and cross-functional teams, while mentoring junior data engineers and leading technical improvement discussions.

Lead data modeling for SAP domains including Supply Chain, Order-to-Cash, and Finance. Design and review conceptual, logical, and physical models; validate mappings, data structures, business rules, and data contracts; and ensure governance, quality, metadata, lineage, and canonical model alignment. Use Databricks and SQL to support integration, transformation, reporting, and analytics. Collaborate with data, engineering, SAP, architecture, and business stakeholders to resolve modeling gaps and approve production-ready designs.

Provides technical leadership for Azure data engineering projects, including solution architecture, data modeling, pipelines, data integration, code quality, QA, performance optimization, governance, security, and documentation. Collaborates with stakeholders and project managers to define scope, manage risks, and deliver scalable, efficient solutions. Requires strong Python, SQL, PySpark, Databricks, Azure Data Factory, Delta Lake, Synapse, Spark, data warehousing, governance, and Azure DevOps expertise.