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A leading IT services and consulting firm in London seeks an experienced Data Architect. This mid-senior level role involves leading Azure Data Factory projects, mentoring teams, and implementing scalable data solutions. Ideal candidates will have extensive technical expertise in data architecture and strong problem-solving skills.
1 week ago Be among the first 25 applicants
Direct message the job poster from Falcon Smart IT (FalconSmartIT)
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.
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