Azure Sr Data Architect

Manchester, United Kingdom Posted on 10/01/2025

We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.

Job Summary

The Azure Data Architecture Lead will provide architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role is responsible for driving enterprise-scale data initiatives, ensuring that solutions are robust, scalable, and aligned with industry best practices. The position is key in shaping data strategy, enforcing governance, and fostering innovation to support organizational objectives.

Key Responsibilities

• Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and compliance with enterprise standards.
  
• Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning to enable data-driven decision-making.
  
• Define and implement DevOps practices for Azure-based data pipelines, including automated deployments, monitoring, and operational excellence.
  
• Lead architectural reviews and ensure governance, security, and compliance measures across Azure data solutions.
  
• Collaborate with business stakeholders to gather requirements and translate them into scalable, innovative Azure-based data architectures.
  
• Mentor and guide technical teams on Azure data technologies, supporting skill development and ensuring successful solution delivery.
  
• Contribute to thought leadership through whitepapers, knowledge sharing, and participation in industry forums.
  

Skills & Experience

• Proven expertise inAzure Data Factorywith advanced proficiency in designing complex data integration solutions.
  
• Strong experience withAzure Databricks, Azure Synapse Analytics, and Azure Machine Learningfor large-scale analytics and AI/ML workloads.
  
• In-depth knowledge ofDevOps practicesfor Azure data services, including CI/CD, monitoring, and automation.
  
• Solid understanding ofdata governance, security, and compliance frameworksin Azure environments.
  
• Strong communication skills with the ability to translate business requirements into scalable technical solutions.
  
• Leadership experience in mentoring teams and driving enterprise data initiatives.