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- Tasks: Lead the design and implementation of Azure Data Factory pipelines for optimal data integration.
- Company: Falcon Smart IT connects talent with opportunities across the UK and Europe in tech roles.
- Benefits: Enjoy a full-time contract role with potential for remote work and professional growth.
- Why this job: Join a dynamic team, mentor others, and make a real impact in data architecture.
- Qualifications: Strong Azure Data Factory skills and experience with cloud services and data integration required.
- Other info: No sponsorship available; ideal for mid-senior level professionals.
The predicted salary is between 43200 - 72000 £ per year.
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: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
Azure Data Factory Architect employer: Falcon Smart IT (FalconSmartIT)
Contact Detail:
Falcon Smart IT (FalconSmartIT) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Factory Architect
✨Tip Number 1
Make sure to brush up on your Azure Data Factory skills. Familiarise yourself with the latest features and best practices, especially around pipeline design and API integration, as these are crucial for the role.
✨Tip Number 2
Network with professionals in the Azure community. Join relevant forums or LinkedIn groups where you can engage with others who work with Azure Data Factory, as this can lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've implemented ADF solutions. Be ready to explain your thought process and how you tackled challenges, as this will demonstrate your problem-solving abilities.
✨Tip Number 4
Consider obtaining relevant Azure certifications if you haven't already. Certifications like the Azure Data Engineer Associate can significantly boost your credibility and show your commitment to the field.
We think you need these skills to ace Azure Data Factory Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory and related technologies. Focus on specific projects where you've designed and implemented ADF pipelines, showcasing your technical expertise and problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that directly addresses the key responsibilities and qualifications listed in the job description. Use specific examples from your past work to demonstrate how you meet their requirements, particularly in API integration and data architecture.
Showcase Relevant Certifications: If you have any Azure certifications, be sure to mention them prominently in your application. This can set you apart from other candidates and show your commitment to professional development in cloud technologies.
Highlight Soft Skills: In addition to your technical skills, emphasise your communication and leadership abilities. Provide examples of how you've successfully collaborated with stakeholders or mentored team members, as these soft skills are crucial for the role.
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Azure Data Factory and related technologies. Highlight specific projects where you've designed and implemented ADF pipelines, focusing on API integration and security best practices.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that assess your problem-solving abilities. Prepare examples of complex challenges you've encountered in data workflows and how you provided innovative solutions.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining technical concepts in a way that non-technical stakeholders can understand, as you'll need to collaborate with various teams.
✨Prepare for Leadership Questions
As a potential mentor, be ready to discuss your leadership style and experiences. Think of examples where you've guided teams in secure ADF pipeline development or improved operational efficiency.
