Risorse Professional, a company specializing in the search and selection of middle and senior management profiles for an international investment fund is looking for:

Data Architect

The role:

Our client is seeking a highly skilled Data Engineer to join a small, high-performing team responsible for designing, building, and maintaining data solutions across the firm. This role will be based in Milan office and will work closely with the wider business and IT Development and IT Infrastructure teams.

The ideal candidate will have strong domain knowledge of Investment Management, buy-side data requirements and workflows, with strong technical skills in relational / spark-based data engineering. Effective communication skills with a proactive approach to problem-solving are essential as is a passion for building scalable, secure, and high-performance data infrastructure.

Key responsibilities:

• Define and implement data mastering strategies for critical investment and reference datasets.
• Design and maintain a central Data Registry/Catalogue to track ownership, lineage, and classification across the enterprise.
• Implement data lineage and metadata management solutions to support transparency and auditability.
• Contribute to enterprise data governance practices, ensuring alignment with regulatory and compliance frameworks (e.g., MiFID, PRIIPs, ESG data quality).
• Lead modernization of legacy SQL Server environments and design integration pathways into data lake / Fabric architecture.
• Optimize SQL Server performance, indexing, and ETL integration with Fabric / Synapse pipelines.
• Define and document data architecture principles and reference models to guide secure development across the enterprise.
• Design data integration solutions with vendor systems (e.g., Bloomberg, MSCI, fund administrators, CRM, compliance tools).
• Implement CI/CD pipelines for data ingestion, transformation, and deployment using Azure DevOps.
• Support versioning, testing, and deployment automation for Fabric or Synapse data pipelines.
• Evaluate and integrate emerging data platforms (e.g., Databricks, Snowflake) alongside Microsoft Fabric to support diverse data workloads.
• Support and enhance existing data platforms and contribute to the evolution of data strategy, roadmap, and target-state architecture.
• Work closely with application developers to ensure seamless data integration across systems.
• Collaborate with the data developers’ team to design, implement and deploy reports with PowerBI platform.

• A minimum of 8 years’ experience in data engineering within asset management, or a related field.
• Strong SQL skills and experience with OLTP, OLAP & Spark based data infrastructure.
• Proficiency in Python for notebook-based data engineering and automation within Fabric or Synapse environments.
• Familiarity with Azure services such as Data Lake, Synapse, and Azure DevOps.
• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Real-Time Analytics): nice to have MS cerifications such as: Fabric Data Engineer Associate or Fabric Analytics Engineer Associate.
• Familiarity with visualisation tools, primarily PowerBI.
• Experience with data modeling, performance tuning, and scalable architecture design.
• The ability to collaborate with business stakeholders to translate investment data needs into actionable technical requirements.
• Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical audiences in order to support informed decision-making.
• Understanding of data repository and governance frameworks for Enterprise data management.
• A proactive, hands-on approach, with the self-motivation to lead and drive data solutions across the company.

Offer: permanent contract, Contract Commercio, gross annual salary commensurate with experience , meal vouchers (€ 10), welfare (2-4K), health insurance (also for family), pension fund and MBO (15-25%).