Data Architect (Cloud)

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Architect (Cloud) to join our UniQue team.

What will you be doing in this role?

• 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).

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.