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- Tasks: Troubleshoot and optimise data platforms like Azure SQL and Databricks.
- Company: Join a dynamic team in Colchester, focused on innovative data management solutions.
- Benefits: Enjoy flexible working options and opportunities for professional development.
- Why this job: Be at the forefront of data technology, making a real impact in a collaborative environment.
- Qualifications: Bachelor's degree in IT or related field; 4+ years in data management required.
- Other info: Industry certifications in cloud platforms and data management are a plus.
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 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. This knowledge can set you apart from other candidates and show that you're proactive about your professional development.
✨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 demonstrate your capability as a Data Management Specialist.
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 that demonstrate your troubleshooting abilities and experience in resolving complex data-related issues. Highlight any instances where you've improved data management systems or processes.
Highlight Collaboration Experience: Since the role involves working with IT teams and business stakeholders, mention any collaborative projects you've been part of. Discuss how you contributed to enhancing data management capabilities through teamwork.
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
Familiarise yourself with data governance principles and how they apply to the role. Be ready to explain how you've implemented data quality frameworks or compliance measures in previous positions, as this is crucial for the job.
✨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 management systems, and be ready to walk the interviewer through your thought process.
✨Demonstrate Collaboration Skills
Since the role involves working with various teams, prepare to discuss your experience collaborating with IT teams, business stakeholders, and external vendors. Share examples of how you’ve successfully communicated technical information to non-technical audiences.
