• Design and build modern data-centric software applications to support clinical and operational processes across all parts of the healthcare system • Leverage cloud computing, big data, data science, and modern software development methodologies and frameworks • Build data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces • Mentor and assist less experienced Data Engineers • Participate in research and development of new technologies

• Lead and manage daily and long-term operations of the Data Engineering team. • Oversee enterprise data pipelines, ETL/ELT processes, analytical platforms, and governance workflows. • Ensure adherence to enterprise data architecture, integration standards, governance practices, and security requirements. • Prioritize work across competing institutional demands while balancing service reliability and operational risk. • Guide the development of scalable data models, semantic layers, and metadata documents. • Coordinate incident response, data quality remediation, and continuous improvement initiatives. • Mentor staff in professional development, engineering best practices, and service delivery excellence. • Collaborate across IT and institutional leadership to support enterprise data initiatives.

• More than 12+ years of IT experience • Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more) • Deep knowledge of data modeling, data warehousing, and lakehouse patterns • Hands‑on experience with at least one modern data platform: • Microsoft Fabric and/or Databricks strongly preferred • Experience integrating data platforms with applications using APIs, services, or event‑driven patterns • Solid understanding of cloud architecture concepts (security, networking, scalability, cost management) • Strong communication skills with the ability to engage both technical and business stakeholders • Experience working in client‑facing or consulting environments

• Plan and align the project with the Androidization strategy • Gather and validate functional and technical requirements • Design the solution architecture and the data model • Automate integration and processing of operational data using Python • Model and automate refined tables incorporating business rules • Implement monitoring and proactive alerts • Publish and validate the tables in the production environment • Document the entire technical and functional platform architecture • Provide training and formalize the technical handover