Skills this job asks for
Warehouse operationsAzureData engineeringCRMPower BIMachine learningCI/CDLeadership
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Confirmed live todayWhen a source last listed this job as open.
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- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsorship unknown
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About the role
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 capabilities where 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 .
What we look for:
• 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 patter
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