Cloud Data Architect - Relocation to Athens, Greece

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NieokreśloneOn-site·WarszawaFull-time

#474103·Dodano dziś·0

Źródło: PEOPLECERT

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Tech Stack / Keywords

Microsoft FabricAzure Databricks Microsoft AzureAzure Data FactoryPower BISQL/T-SQLDelta LakePython PySparkAzure Data Lake Storage (ADLS)

Podsumowanie oferty

As a Cloud Data Architect, you will design and evolve the organization’s enterprise data warehouse, data lake and lakehouse to support data-driven decisions, self-service reporting and advanced analytics. The role focuses on building the enterprise data platform with Microsoft Fabric, Azure Databricks and the wider Microsoft Azure data ecosystem.

Wymagania

Proven experience as a Cloud Data Architect, Data Architect, Senior Data Engineer or equivalent, designing and delivering modern cloud data platforms.
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 (ADLS), and Azure Data Factory/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.

Nice to have:

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

Obowiązki

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 enterprise data platform solutions using Microsoft Fabric and Azure Databricks, selecting and integrating capabilities for workload and architecture requirements.
Design data ingestion and orchestration patterns using Microsoft Fabric Data Factory and Azure Data Factory for batch and incremental ELT/ETL workloads.
Implement Medallion Architecture patterns (Bronze, Silver and Gold) with Delta Lake/Lakehouse technologies.
Integrate data from CRM, ERP, digital platforms, operational applications, APIs, multimedia sources and custom enterprise systems.
Design analytical and semantic architectures using Microsoft Fabric, Power BI and Databricks for governed enterprise reporting and self-service analytics.
Apply data democratization and self-service analytics principles to provide secure, governed access to trusted enterprise data.
Lead and support Master Data Management (MDM) initiatives, establishing governed master entities and golden records across enterprise systems.
Work with Data Engineering, Business Intelligence, Data Governance, Data Science and AI teams to translate requirements into end-to-end data architectures.
Establish architecture standards for data modelling, integration, data quality, metadata, lineage, security and lifecycle management.
Design architectures to support AI and Machine Learning workloads and governed access to enterprise data.
Monitor and optimize data platform architecture and workloads for performance, scalability, reliability and cloud cost efficiency.
Define and promote CI/CD, Infrastructure-as-Code and DataOps practices for enterprise data solutions.
Track developments in Microsoft Fabric, Azure Databricks and the Azure data ecosystem, and recommend architectural improvements and capabilities.
Provide technical leadership, architectural guidance and mentorship to Data & Analytics teams.
Maintain architecture documentation, standards, design patterns and technical decision records.

Benefity

Competitive remuneration package.
Two free vouchers per year from PeopleCert's certification portfolio.
Continuous learning and professional development opportunities.
Exposure to international facilities and workplace operations.
Opportunity to contribute to sustainability and workplace improvement initiatives.

Inne informacje

The title specifies relocation to Athens, Greece.
Personnel engaged to work on the SELT service must undergo a background check with results acceptable to PeopleCert and the Home Office before starting SELT duties, and declare any criminal record and/or bankruptcy. Checks include specified UK checks or equivalent checks elsewhere; personnel speaking to SELT candidates must be appropriately skilled in English and, outside the UK, the relevant country's official language.

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