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Peoplecert

Offers globally recognized professional certification exams

Cloud Data Architect

Data EngineeringUpdated on Nov 13
Full-timeAthens, GreeceNo salary listedIn-person

About the Job

Requirements

  • Proven experience as a Cloud Data Architect, Data Architect, Senior Data Engineer, or equivalent, designing and delivering modern cloud data platforms.
  • Strong hands-on experience with the Microsoft Azure data ecosystem, particularly Microsoft Fabric, including Lakehouse, Data Factory, OneLake, Warehouses, and Power BI; Azure Databricks, including Delta Lake, Lakehouse, and Medallion Architecture patterns; Azure Data Lake Storage; and Azure Data Factory or Fabric Data Factory.
  • Strong understanding of modern Enterprise Data Warehouse and Lakehouse architectures, dimensional modelling, and enterprise data modelling principles.
  • Hands-on experience designing ETL/ELT pipelines, incremental data ingestion, and integration patterns across complex enterprise environments.
  • Strong SQL/T-SQL skills and experience working with large-scale analytical datasets.
  • Strong knowledge of Power BI, semantic modelling, and DAX, particularly within the Microsoft Fabric ecosystem.
  • Experience with data governance, metadata management, data lineage, and Master Data Management concepts and technologies.
  • Understanding of cloud security, access control, networking, performance optimisation, and FinOps principles within enterprise data platforms.
  • Experience with Azure DevOps, Git, and CI/CD practices for data engineering and analytics solutions.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant discipline.
  • Strong analytical and problem-solving skills, with the ability to translate complex business requirements into scalable technical architectures.
  • Strong commitment to quality, delivery, and collaborative teamwork across business and technology functions.
  • Excellent command of English; additional languages are considered an advantage.

Responsibilities

  • 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 centrally governed enterprise reporting and self-service analytics.
  • Apply data democratization and self-service analytics principles to ensure secure, scalable, and governed access to trusted enterprise data.
  • Lead and support Master Data Management initiatives, establishing consistent and governed master entities and golden records across enterprise systems.
  • Work 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 optimise 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 capabilities when they provide measurable business value.
  • Provide technical leadership, architectural guidance, and mentorship to Data & Analytics teams on modern cloud data architecture and engineering practices.
  • Maintain comprehensive and up-to-date architecture documentation, standards, design patterns, and technical decision records.

Desired Qualifications

  • Experience with Python, PySpark, Spark, and Databricks notebooks.
  • Relevant Microsoft and/or Databricks certifications.

About the Company

Peoplecert

Offers globally recognized professional certification exams

PeopleCert provides assessment and certification of professional skills through a global network of training providers, corporations, and government bodies. It is the sole examination institute for Axelos’ global best practice qualifications, including ITIL and PRINCE2, and offers online and paper-based exams with online proctoring to validate a candidate’s knowledge and skills. Exams generate revenue via fees, and certification helps professionals advance their careers in areas like project management and IT governance. Unlike many competitors, PeopleCert combines exclusive rights to Axelos qualifications with a broad, worldwide delivery network and flexible exam formats to reach candidates globally.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$495M
Headquarters
Athens, Greece
Founded
2000

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