Azure Data Factory Architect

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Location: London, UK

Job Type: Fixed Term Contract

Note: No sponsorship will be provided

Key Responsibilities

· Lead consulting and advisory on Azure Data Factory (ADF) pipeline design and implementation, ensuring alignment with business-as-usual (BAU) operations.

· Architect and implement robust ADF pipelines with a focus on API integration, authentication, and end-to-end security best practices.

· Collaborate with stakeholders to translate business requirements into scalable ADF solutions, optimizing for maintainability and operational efficiency.

· Provide expert guidance on ADF features, troubleshooting, and continuous improvement of data workflows in production environments.

· Mentor teams on secure ADF pipeline development, API management, and compliance with enterprise security standards.

Required Qualifications

Technical Expertise:

· Strong expertise in Azure Data Factory, including pipeline design, data flow, and integration runtime configuration.

· Proficiency in Azure cloud services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault.

· Hands-on experience with ETL/ELT processes, data transformation, and data integration patterns.

Programming and Scripting:

· Proficiency in SQL, Python, or other scripting languages for data manipulation and automation.

· Experience with REST APIs and integrating ADF with external systems.

· Deep understanding of cloud-based data architecture, including data lakes, data warehouses, and real-time data processing.

· Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) using tools like Azure DevOps, ARM templates, or Terraform.

Soft Skills:

· Strong communication and interpersonal skills to engage with both technical and non-technical stakeholders.

· Problem-solving mindset with the ability to provide innovative solutions to complex challenges.

· Leadership and mentoring abilities to guide teams and ensure project success.

Preferred Qualifications

· Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert.

· Experience with other data integration tools like SSIS, Informatica, or Talend (optional but beneficial).

· Knowledge of big data technologies such as Databricks.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesIT Services and IT Consulting

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· Strong expertise in Azure Data Factory, including pipeline design, data flow, and integration runtime configuration.

· Proficiency in Azure cloud services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault.

· Hands-on experience with ETL/ELT processes, data transformation, and data integration patterns.

Programming and Scripting:

· Proficiency in SQL, Python, or other scripting languages for data manipulation and automation.

· Experience with REST APIs and integrating ADF with external systems.

· Deep understanding of cloud-based data architecture, including data lakes, data warehouses, and real-time data processing.

· Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) using tools like Azure DevOps, ARM templates, or Terraform.

Soft Skills:

· Strong communication and interpersonal skills to engage with both technical and non-technical stakeholders.

· Problem-solving mindset with the ability to provide innovative solutions to complex challenges.

· Leadership and mentoring abilities to guide teams and ensure project success.

Preferred Qualifications

· Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert.

· Experience with other data integration tools like SSIS, Informatica, or Talend (optional but beneficial).

· Knowledge of big data technologies such as Databricks.