Cloud Data Architect

PeopleCert Group; Kentucky; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Two certification vouchers per year

Professional development opportunities

Job summary

PeopleCert is seeking a Cloud Data Architect to design and evolve enterprise data platforms on Microsoft Azure, including data warehouse, data lake, and lakehouse architectures. You will lead data ingestion, governance, and analytics initiatives across BI and ML workloads.

The role requires hands-on Azure experience, strong SQL/Python skills, and the ability to translate business needs into scalable data architectures in a global environment.

Qualifications

• Proven experience designing and delivering modern cloud data platforms.
• Strong hands-on Azure data ecosystem knowledge (Fabric, Databricks, ADLS, Data Factory).
• Experience with Enterprise Data Warehouse and Lakehouse architectures.

Responsibilities

• Design and evolve Enterprise Data Warehouse, Data Lake and Lakehouse architectures on Azure.
• Architect data solutions using Fabric and Databricks as core components.
• Design data ingestion using Fabric Data Factory and Azure Data Factory.

Skills

Cloud data architecture

Microsoft Azure data ecosystem

Microsoft Fabric

Azure Databricks

Azure Data Lake Storage

Data Factory / Fabric Data Factory

ETL/ELT pipelines

SQL/T-SQL

Python / PySpark / Spark

Power BI

Data governance / MDM

CI/CD / DataOps

Azure DevOps / Git

Cloud security / FinOps

English proficiency

Education

Bachelor’s or Master’s degree in CS/DS/Engineering/Math

Tools

Microsoft Fabric

Azure Databricks

Azure Data Factory

Power BI

Azure Data Lake Storage

Delta Lake / Lakehouse

Databricks notebooks

Git

Azure DevOps

Job description

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

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 patterns.
• Azure Data Lake Storage (ADLS).
• 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.
• Experience with Python, PySpark, Spark and Databricks notebooks is highly desirable.
• 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.
• Relevant Microsoft and/or Databricks certifications are highly desirable.
• 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.

What we offer:

• Competitive remuneration package.
• Work in an international, dynamic, and collaborative environment.
• 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.

About PeopleCert

PeopleCert is a global leader in the assessment and certification of professional skills, partnering with multinational organisations and government bodies for the development and delivery of standardised exams. Delivering exams across 200 countries and in 25 languages through state-of-the-art assessment technology, PeopleCert enables professionals to boost their careers and realise their life ambitions.

Quality, Innovation, Passion, Integrity, Clarity and Velocity are the core values that guide everything we do.

Our offices in the UK, Greece, Cyprus, and India foster a culture of diversity, where everyone is different, yet everyone fits in. All of us at PeopleCert are committed to reflecting the diversity and inclusion of our customers and the communities in which we operate.

Working on Home Office (HO) Secure English Language Tests (SELTs)

Any person who is engaged by PeopleCert to work on the SELT service must undergo a Background Check (the results of which must be acceptable to PeopleCert and the HO) prior to commencing their SELT duties. All SELT personnel will be required to complete a declaration (provided by PeopleCert) where the existence of any criminal record and/or bankruptcy must be declared.

If working on the SELT service in the UK, background checks will include:

• A basic or enhanced Disclosure Barring Service (DBS) check

• Right to Work in the UK check (including nationality, identity and place of residence)

• HO security check (Baseline Personnel Security Standard (BPSS) or Counter Terrorist Check (CTC)

• Financial background check

• Employment reference check.

• If working on the SELT service anywhere in the world (outside of the UK) personnel will undergo background checks that are equivalent to those stated for the UK.

In addition, if personnel are required to speak to SELT candidates they must be appropriately skilled in English language and, where SELT services are provided anywhere in the world (outside of the UK), the official language of the relevant country.

All applications will be treated with strict confidentiality.