Azure Data Factory Architect

1 week ago Be among the first 25 applicants Direct message the job poster from Falcon Smart IT (FalconSmartIT) UK/EU IT Recruiter || Helping individuals find new opportunities across the UK and Europe || Seeking roles in Workday, Recruitment, and HR || Holding... 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.