DESCRIPTION OF THE TASKS
* Creation and maintenance of Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses).
* Designing architectures both on the cloud and on premises (whether hosting or cloud on-premises) or combination of both (hybrid).
* Design a modern scalable data platform to replace a large legacy data system in a phased approach.
* Align architectural decisions with data governance policies and the department’s vision on cloudification.
* Design of data quality, audit and health monitoring processes.
* Define best practices, standards, rules, policies, review processes. Ensure regulatory compliance.
* Provide guidance and mentorship to data analysts, data engineers.
* Facilitate change management by guiding colleagues and users through the migration process.
* Document and maintain data architecture and data assets in detail.
* Elaboration of test programs.
* Assistance with deployment and configuration of the system.
* Participation in meetings with other project teams.
KNOWLEDGE AND SKILLS
* Experience in migrating legacy data systems to a modern data platform.
* Excellent knowledge of designing scalable and flexible modern data architectures.
* Excellent knowledge of business intelligence reporting tools.
* Strong understanding of cloud data architecture principles.
* Knowledge of database systems, both relational (PostgreSQL, Oracle) and non-relational (Elasticsearch, MongoDB).
* Experience with ETL/ELT processes, API integration, data ingestion and transformation tools (dbt, Spark, Talend, Fabric, SAP DS).
* Proficiency in data pipeline orchestration tools (Airflow, Dagster).
* Knowledge of data governance frameworks and tools (DataHub, Open Metadata, Atlas, Collibra), data quality management, data security, access control and regulatory compliance.
* Experience with DevOps practices and tools related to data pipelines, including CI/CD for data infrastructure.
* Excellent communication skills to articulate data architecture concepts to technical and non-technical stakeholders.
* Good knowledge of modelling tools.
EDUCATION
* Master's Degree