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- Tasks: Troubleshoot and optimise data platforms like Azure SQL and Databricks.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy flexible work options, professional development opportunities, and a collaborative culture.
- Why this job: Be part of a dynamic team making a real impact in data management.
- Qualifications: Bachelor's degree in IT or related field; 4+ years in data management required.
- Other info: Opportunity to work with cutting-edge technologies and mentor junior teams.
The predicted salary is between 36000 - 60000 £ per year.
You will provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms, such as Azure SQL databases, Fabric Warehouse and Onelake, Databricks, and Azure Data Factory. Purview or another MDM tool is highly desirable.
Skills/experience
- Bachelor’s degree in Information Technology, Computer Science, Data Management, or a related field.
- 4+ years of experience in data management, data operations, or IT support roles, with at least 2 years in Level 3/4 support or equivalent.
- Hands-on experience with database technologies (Azure landscape, Oracle, PostgreSQL, etc.).
- Industry certifications in professional data management, cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable.
- Proven experience with ETL tools, data integration, and API-based data exchange.
- Strong background in data governance, data quality management, and metadata management.
- Experience with ServiceNow, Azure Purview, and master data management tools such as Profisee, CluedIn, or Semarchy.
Role
- Serve as the technical escalation point for data management support, ensuring timely and effective resolution of complex data-related issues.
- Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements.
- Support the implementation of data quality frameworks, data lifecycle management, and metadata management initiatives.
- Work collaboratively with IT teams, business stakeholders, and external vendors to enhance data management capabilities.
- Document technical solutions, best practices, and knowledge base articles to facilitate effective knowledge transfer and continuous improvement.
- Diagnose and resolve data-related incidents and problems escalated from Level 1 and Level 2 support teams.
- Perform advanced database administration, including indexing, query tuning, backup and recovery, and security management.
- Support data integration processes (ETL, API connections) and troubleshoot failures in Azure data pipelines.
- Implement and maintain data governance standards, ensuring data accuracy, completeness, and consistency through tools such as Azure Purview and SAP Datasphere.
- Provide technical support for enterprise data management tools, including data catalogues, data lakes, and master data management solutions.
- Conduct regular audits to ensure compliance with data governance policies and standards.
- Support incident management and change management processes related to data management.
- Train and mentor Level 1 and Level 2 support teams to enhance their data management capabilities.
Data Management Specialist (Azure) employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Specialist (Azure)
✨Tip Number 1
Familiarise yourself with Azure's data management tools, especially Azure SQL databases and Azure Data Factory. Having hands-on experience with these platforms will not only boost your confidence but also demonstrate your expertise during interviews.
✨Tip Number 2
Network with professionals in the data management field, particularly those who work with Azure technologies. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Stay updated on the latest trends and best practices in data governance and quality management. Being knowledgeable about current industry standards will make you a more attractive candidate and show your commitment to continuous learning.
✨Tip Number 4
Prepare for technical interviews by practising troubleshooting scenarios related to data management. This will help you articulate your problem-solving skills effectively and demonstrate your ability to handle complex data-related issues.
We think you need these skills to ace Data Management Specialist (Azure)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, particularly with Azure technologies. Emphasise your hands-on experience with database technologies and any industry certifications you hold.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about data management and how your skills align with the job requirements. Mention specific tools and technologies you've worked with, such as Azure SQL databases and ETL processes.
Showcase Problem-Solving Skills: Provide examples in your application of how you've successfully resolved complex data-related issues in previous roles. Highlight your troubleshooting and root cause analysis skills, especially in Level 3/4 support scenarios.
Highlight Collaboration Experience: Since the role involves working with IT teams and business stakeholders, include examples of successful collaborations in your application. Discuss how you’ve contributed to enhancing data management capabilities in past projects.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Azure SQL databases, Databricks, and other relevant technologies. Highlight specific projects where you provided troubleshooting or performance optimisation, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand Data Governance Principles
Familiarise yourself with data governance, quality management, and metadata management concepts. Be ready to explain how you've implemented these principles in past roles, as this knowledge is crucial for ensuring compliance and data integrity.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you diagnosed complex data issues or improved data management processes, and be ready to walk the interviewer through your thought process and solutions.
✨Demonstrate Collaboration Skills
Since the role involves working with IT teams and business stakeholders, prepare to discuss your experience in collaborative environments. Share examples of how you’ve effectively communicated technical information to non-technical team members or worked with external vendors.
