Azure Data Architect - Enterprise ETL & Cloud Transformation

Atos SE

Wideopen

On-site

GBP 90,000 - 120,000

Full time

7 days ago
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Benefits offered by this job

Pension scheme
Private medical cover
Income protection
Life assurance
25 days leave + holidays
Flex benefits

Job summary

Atos is seeking an experienced Azure ETL Architect to lead the design and delivery of enterprise-scale data integration on Microsoft Azure. You will define standards, architect scalable ETL/ELT frameworks, and provide technical leadership across large transformation programmes.

The role requires deep expertise in ADF, Azure Databricks, PySpark, SQL, XML and governance, with strong stakeholder engagement and delivery oversight.

Qualifications

  • Deep expertise in Azure Data Factory and Azure Databricks with hands-on delivery.
  • Proven PySpark, SQL and Delta Lake skills for large data platforms.
  • Experience architecting enterprise ETL/ELT on cloud environments.
  • Strong governance, data quality controls and metadata practices.
  • Excellent stakeholder engagement and consultancy experience.

Responsibilities

  • Lead design, architecture and delivery of enterprise data integration on Azure.
  • Define data architecture standards and scalable ETL/ELT frameworks.
  • Provide technical leadership across large data transformation programmes.
  • Collaborate with stakeholders and delivery teams to ensure success.

Skills

Azure Data Factory
Azure Databricks
PySpark
SQL
XML
XSD
XPath
XSLT
REST APIs
Data governance
Data quality
Stakeholder management
ETL/ELT design
Data warehousing

Tools

Azure Data Factory
Azure Databricks
Delta Lake
XML Schema (XSD)
XPath
XSLT

Job description

Atos is seeking an experienced Azure ETL Architect to lead the design and delivery of enterprise-scale data integration on Microsoft Azure. You will define standards, architect scalable ETL/ELT frameworks, and provide technical leadership across large transformation programmes.

The role requires deep expertise in ADF, Azure Databricks, PySpark, SQL, XML and governance, with strong stakeholder engagement and delivery oversight.

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