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For Companies At a Glance
- Tasks: Lead the design and optimisation of Azure Data Factory pipelines for seamless data integration.
- Company: Join SoftNice, a dynamic IT services firm focused on innovative data solutions.
- Benefits: Enjoy a hybrid work model with potential contract extension and opportunities for professional growth.
- Why this job: Be part of a collaborative team, making impactful data-driven decisions in a fast-paced environment.
- Qualifications: Strong ADF expertise, programming skills in SQL and Python, and knowledge of cloud architectures required.
- Other info: Immediate start available; perfect for tech-savvy individuals eager to mentor and innovate.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for an experienced Azure Data Factory (ADF) Architect to provide consulting and advisory services on ADF pipeline design, implementation, and optimization. The role focuses on delivering scalable, secure, and efficient data integration solutions that align with business-as-usual (BAU) operations.
Key Responsibilities:
- Lead design and architecture of ADF pipelines, ensuring API integration, security, and performance best practices
- Collaborate with cross-functional stakeholders to translate business needs into scalable ADF solutions
- Optimize ADF pipelines for operational efficiency and maintainability
- Provide expert guidance on ADF troubleshooting and continuous improvement strategies
- Mentor development teams on secure, scalable, and best-practice implementations
- Ensure compliance with enterprise-level security and governance standards
Required Qualifications:
- Azure Data Factory Expertise: Strong hands-on experience with ADF pipeline design, data flows, and integration runtime configuration
- ETL/ELT & Integration: Solid understanding of ETL/ELT processes and integration with external systems via REST APIs
- Programming & Scripting: Proficiency in SQL, Python, and scripting for data automation
- Architecture & DevOps: Deep knowledge of cloud data architectures, DevOps practices, and Infrastructure as Code (IaC) using Azure DevOps, ARM templates, or Terraform
- Soft Skills: Strong stakeholder communication, problem-solving, and team mentoring abilities
Preferred Qualifications:
- Experience with tools like SSIS, Informatica, Talend (optional)
- Familiarity with big data tools such as Databricks
Contact Detail:
SoftNice Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Factory (ADF) Architect
✨Tip Number 1
Make sure to showcase your hands-on experience with Azure Data Factory in any discussions or networking opportunities. Highlight specific projects where you've designed and optimised ADF pipelines, as this will demonstrate your expertise directly related to the role.
✨Tip Number 2
Engage with professionals in the Azure community, especially those who have experience in data integration and ADF. This can provide you with insights into best practices and current trends, which you can mention during interviews to show your proactive approach.
✨Tip Number 3
Prepare to discuss your problem-solving strategies regarding ADF troubleshooting. Think of specific examples where you've successfully resolved issues or improved pipeline performance, as this will highlight your practical knowledge and ability to add value to the team.
✨Tip Number 4
Familiarise yourself with the company's projects and their use of Azure Data Factory. Tailoring your conversation to align with their business needs and demonstrating how your skills can contribute to their goals will make a strong impression.
We think you need these skills to ace Azure Data Factory (ADF) Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, ETL/ELT processes, and any relevant programming skills like SQL and Python. Use specific examples to demonstrate your expertise in ADF pipeline design and implementation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data integration solutions and how your background aligns with the role's responsibilities. Mention your experience in mentoring teams and collaborating with stakeholders to showcase your soft skills.
Showcase Relevant Projects: If you have worked on projects involving ADF or similar tools, include them in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your problem-solving abilities and technical expertise.
Highlight Continuous Learning: Mention any recent training, certifications, or workshops related to Azure Data Factory or cloud data architectures. This shows your commitment to staying updated with industry trends and best practices.
How to prepare for a job interview at SoftNice
✨Showcase Your ADF Expertise
Be prepared to discuss your hands-on experience with Azure Data Factory. Highlight specific projects where you designed and optimised ADF pipelines, focusing on API integration and performance best practices.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your troubleshooting abilities. Prepare examples of challenges you've faced in ADF implementations and how you resolved them, showcasing your analytical thinking.
✨Communicate Effectively with Stakeholders
Since collaboration is key in this role, practice articulating how you translate business needs into technical solutions. Be ready to discuss how you’ve worked with cross-functional teams in the past.
✨Emphasise Continuous Improvement
Discuss your approach to optimising ADF pipelines for operational efficiency. Share any strategies you've implemented for continuous improvement and how you mentor others in best practices.
