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For Companies At a Glance
- Tasks: Troubleshoot and optimise data platforms like Azure SQL and Databricks.
- Company: Join a dynamic team focused on innovative data management solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a collaborative culture that values your input and expertise.
- Qualifications: Bachelor's degree in IT or related field; 4+ years in data management required.
- Other info: Experience with Azure tools and certifications are highly desirable.
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, 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 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 webinars or local meetups to build connections that could lead to job referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in data governance and quality management. This knowledge can set you apart from other candidates and show your commitment to continuous learning.
✨Tip Number 4
Prepare for technical interviews by practising troubleshooting scenarios related to data platforms. Being able to articulate your problem-solving process will impress interviewers and showcase your practical skills.
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. Include specific examples of your work with Azure SQL databases, Databricks, and any ETL tools you've used.
Craft a Strong Cover Letter: In your cover letter, emphasise your problem-solving skills and experience in troubleshooting complex data issues. Mention any industry certifications you hold that are relevant to the role, such as Microsoft Certified: Azure Data Engineer Associate.
Showcase Technical Skills: Clearly list your technical skills related to data governance, metadata management, and database administration. Highlight your hands-on experience with tools like Azure Purview and ServiceNow, as well as your familiarity with data integration processes.
Demonstrate Collaboration Experience: Provide examples of how you've worked collaboratively with IT teams and business stakeholders. This could include projects where you enhanced data management capabilities or implemented data quality frameworks.
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 optimised performance or resolved complex issues, as this will demonstrate your capability in a practical context.
✨Understand Data Governance Principles
Familiarise yourself with data governance standards and practices, especially those related to Azure Purview and metadata management. Be ready to explain how you've implemented these principles in past roles, as this is crucial for the position.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you had to troubleshoot data-related incidents or improve data quality, and be ready to walk the interviewer through your thought process.
✨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 successfully worked with others to enhance data management capabilities.
