Azure Tech Lead

Accenture UK & Ireland

Dublin

On-site

EUR 110,000 - 140,000

Full time

3 hours ago
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Job summary

Accenture UK & Ireland is seeking a senior Azure Tech Lead to design, implement and operate secure cloud platforms, bridging cloud engineering and data platform teams to enable reliable analytics and AI services.

You will own Azure platform design, automation, governance and operational health, while coaching engineers and coordinating with security and client stakeholders to align cloud capabilities with business needs.

Qualifications

  • Strong hands-on Azure engineering across networking, compute, storage, identity and governance.
  • Experience with infrastructure as code and automated deployment pipelines.
  • Knowledge of Azure data services and analytical platforms non-functional needs.

Responsibilities

  • Own the technical design and operational health of Azure platform services.
  • Provision repeatable environments via IaC and automated pipelines.
  • Engineer platform foundations for Data Lake, Databricks and Azure data services.
  • Apply private connectivity, secrets management, encryption, backup and DR patterns.
  • Monitor reliability, performance, capacity and cost; drive RCA.
  • Lead cloud platform workstreams and ensure successful transition to operations.
  • Define and enforce cloud engineering standards and cost-optimisation practices.
  • Provide technical leadership and coaching to engineers and stakeholders.

Skills

Azure engineering
Terraform
Bicep
Azure DevOps
GitHub Actions
PowerShell
Python
Security governance
Leadership

Education

AZ-305 Certification

Tools

Azure Data Factory
Databricks
Azure SQL
Azure Landing Zones

Job description

Role overview: We are seeking a senior Azure Tech Lead who can design, implement and operate secure cloud platforms while supporting data-intensive workloads. The role will bridge cloud engineering and data platform teams, ensuring that Azure foundations, connectivity, automation and operational controls enable reliable analytics and AI services.

Key responsibilities
  • Own the technical design and operational health of Azure platform services, ensuring alignment with enterprise architecture, security and governance standard.
  • Provision repeatable environments through infrastructure as code and automated deployment pipelines.
  • Engineer platform foundations for Data Lake Storage, Fabric, Data Factory, Databricks, Azure SQL and related services.
  • Apply private connectivity, managed identities, secrets management, encryption, backup and disaster-recovery patterns.
  • Monitor reliability, performance, capacity and cost; lead troubleshooting and root-cause analysis.
  • Lead technical delivery of cloud platform workstreams, managing technical risks, dependencies, readiness activities and successful transition into operations
  • Define and enforce cloud engineering standards, automation practices and operational controls to ensure consistency, cost optimisation, reliability and maintainability across environments
  • Provide technical leadership and coaching to engineers while collaborating with architects, security teams, application teams and client stakeholders to align cloud-platform capabilities with business requirements
Qualifications, skills and experience
  • Strong hands-on Azure engineering experience across networking, compute, storage, identity and governance.
  • Experience with Terraform or Bicep, Azure DevOps or GitHub Actions, and scripting with PowerShell or Python.
  • Working knowledge of Azure data services and the non-functional needs of analytical platforms.
  • Strong understanding of enterprise security architecture, resilience engineering, observability, governance and cloud financial management.
  • Demonstrated experience leading cloud engineering teams or workstreams, influencing stakeholders and managing technical delivery in enterprise environments
  • AZ-305 Certification
Desirable

Azure Landing Zones, Azure Networking, Azure Security, FinOps, Infrastructure-as-Code, Platform Engineering Methodologies, Azure Kubernetes Service, Microsoft AI Resources, GitHub enterprise, Purview and relevant Azure Architect certifications

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