Cloud Data Architect
PEOPLECERT · Athens, Attica, Greece · On-site
Posted Oct 7, 2026
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Are you interested in working with a leading education technology player, the global leader in the assessment and certification of professional skills industry with a presence in more than 200 countries worldwide? If so, this is the chance to apply now! 📥
PeopleCert is looking for a Cloud Data Architect to join the relevant team and support data driven decision making of the organization by developing the appropriate corporate data warehouse/s, corporate data lake/s, cubes for self-service reporting, and advanced analytics & AI deliverables.
As a Cloud Data Architect, your responsibilities will include:
Design, build and evolve scalable Enterprise Data Warehouse, Data Lake and Lakehouse architectures on Microsoft Azure, aligned with enterprise architecture principles, security requirements and cloud best practices.
Architect data solutions using Microsoft Fabric and Azure Databricks as core components of the enterprise data platform , selecting and integrating capabilities according to workload and architectural requirements.
Design modern data ingestion and orchestration patterns using Microsoft Fabric Data Factory and Azure Data Factory , supporting batch and incremental ELT/ETL workloads across heterogeneous enterprise systems.
Design and implement Medallion Architecture patterns (Bronze, Silver and Gold) using Delta Lake/Lakehouse technologies to provide scalable, governed and reusable enterprise data products.
Integrate diverse data sources, including CRM, ERP, digital platforms, operational applications, APIs, multimedia sources and custom enterprise systems .
Design scalable analytical and semantic architectures using Microsoft Fabric, Power BI and Databricks , supporting both centrally governed enterprise reporting and self-service analytics.
Apply data democratization and self-service analytics principles , ensuring secure, scalable and governed access to trusted enterprise data.
Lead and support Master Data Management (MDM) initiatives, establishing consistent and governed master entities and golden records across enterprise systems.
Work closely with Data Engineering, Business Intelligence, Data Governance, Data Science and AI teams to translate business and technical requirements into robust end-to-end data architectures.
Establish architecture standards for data modelling, integration, data quality, metadata, lineage, security and lifecycle management .
Design architectures that support AI and Machine Learning workloads , enabling governed access to enterprise data for advanced analytics, ML and AI applications.
Monitor and optimize data platform architecture and workloads, balancing performance, scalability, reliability and cloud cost efficiency .
Define and promote CI/CD, Infrastructure-as-Code and DataOps practices for enterprise data solutions.
Stay current with developments across Microsoft Fabric, Azure Databricks and the broader Azure data ecosystem , recommending architectural improvements and new…