Data Architect (Cloud)

• Develop and update a data architecture strategy that adapts to evolving needs and accommodates both Business Intelligence and AI workloads.
• Design and implement architectures for the cloud that are vendor agnostic.
• 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.
• Establish and enforce data management policies and processes, including data quality, security and platform health monitoring.
• Ensure regulatory compliance and adherence to audit requirements.
• Provide guidance and mentorship to data analysts and data engineers.
• Facilitate change management by guiding colleagues and users through the migration process.
• Document and maintain data architecture and data assets in detail.
• Assistance with deployment, configuration and testing of the system.
• Participation in meetings with other project teams.

What do you need to succeed in this position?

• Master's degree in IT and at least 13 years of IT experience (or Bachelor's degree and at least 17 years of IT experience).
• Experience in migrating legacy data systems (SAP DataServices, SAS Data Integration) to a modern cloud-based, open-source data platform solution (preferably Data Lakehouse).
• Excellent knowledge of designing scalable and flexible modern cloud-based and open-sources data architectures.
• Experience with AI-powered assistants like Amazon Q for innovative data solutions design.
• Strong exposure with Kubernetes.
• Previous experience with relational and non-relational database systems (PostgreSQL, Oracle or Elasticsearch, MongoDB).
• Experience with ETL/ELT processes and related data ingestion and transformation tools (like Spark, dbt, Trino).
• Proficiency in data pipeline orchestration tools (like Airflow, Dagster, Luigi).
• Knowledge of data governance frameworks and tools (like DataHub, Open Metadata).
• Familiarity with data quality management, data security, access control and regulatory compliance.
• Proficiency with system-to-system integration via RESTful APIs.
• Experience with DevSecOps practices and tools related to data pipelines, including CI/CD for data infrastructure.
• Good knowledge of modelling tools.
• Advanced English (C1) communication skills (written and spoken).