Teams at PATRIZIA

Design, build, and operate production AI agents for investment and business functions. Translate business needs into agentic solutions using Databricks, Claude API, tool use, RAG, and enterprise integrations. Establish evaluation, testing, monitoring, governance, security, and regulatory compliance. Set AI engineering standards and coach Data and AI Engineering colleagues.

Build and operate an Azure and Databricks data platform, integrating enterprise systems such as SAP and Salesforce. Develop Terraform-based infrastructure and CI/CD pipelines, administer workspaces, environments, Unity Catalog, identity, networking, and storage, and provide secure AI capabilities including API layers, model serving, and LLM access. Own platform security, monitoring, cost control, compliance, documentation, and engineering standards.

Develops scalable data products and ingestion pipelines across Databricks medallion architecture layers. Designs data models and serving datasets for reporting, analytics, and AI use cases; implements data quality, lineage, and governance; integrates structured data and documents for AI agents; and collaborates with business and AI engineering teams. Requires production SQL and Python/PySpark experience, Databricks expertise, data modeling knowledge, and engineering discipline in Git, CI/CD, testing, and documentation.