At a Glance
- Tasks: Lead the design and implementation of Azure Data Factory pipelines for innovative data solutions.
- Company: Join Falcon Smart IT, a dynamic tech recruiter in the heart of London.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a collaborative environment with excellent career advancement potential.
- Why this job: Make a real impact by optimising data workflows and mentoring teams in cutting-edge technology.
- Qualifications: Strong Azure Data Factory skills and experience with cloud services are essential.
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)
Falcon Smart IT is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we provide opportunities for professional development through cutting-edge projects and the latest technologies, ensuring our team members thrive in their careers. Enjoy the unique advantage of a flexible work schedule with four days in-office, allowing for a balanced work-life experience while contributing to impactful solutions in the tech industry.
Contact Details:
Falcon Smart IT (FalconSmartIT) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Factory Architect
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in Azure Data Factory. Building relationships can lead to job opportunities that aren't even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your Azure Data Factory projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers. Don’t forget to highlight your problem-solving skills!
✨Ace the Interview
Prepare for common interview questions related to Azure Data Factory and be ready to discuss your past experiences. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through StudySmarter not only gives you access to exclusive roles but also helps us support you throughout the application process. Let’s land that job together!
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. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you the perfect fit. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills:When detailing your technical expertise, be specific about your experience with ADF, SQL, and any other relevant tools. We’re looking for clear examples of how you’ve tackled challenges in past roles, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Know Your ADF Inside Out
Make sure you brush up on your Azure Data Factory knowledge. Be ready to discuss pipeline design, API integration, and security best practices. The more you can demonstrate your expertise, the more confident you'll appear.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex challenges in previous roles. Think about specific scenarios where you provided innovative solutions, especially related to data workflows or ADF features.
✨Communicate Clearly with Stakeholders
Since this role involves collaborating with both technical and non-technical stakeholders, practice explaining technical concepts in simple terms. This will show that you can bridge the gap between different teams effectively.
✨Highlight Your Mentoring Experience
If you've mentored others in secure ADF pipeline development or API management, be sure to mention it. This shows leadership potential and your ability to guide teams towards success, which is a key aspect of the role.
