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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 in Chester, focused on innovative data management solutions.
- Benefits: Enjoy flexible working options and opportunities for professional development.
- Why this job: Be part of a collaborative culture that values data excellence and innovation.
- 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 the use of 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 industry meetups or webinars to connect with potential colleagues and learn about the latest trends and challenges in data management.
✨Tip Number 3
Consider obtaining relevant certifications, such as the Microsoft Certified: Azure Data Engineer Associate. This will not only enhance your resume but also show your commitment to professional development in data management.
✨Tip Number 4
Prepare for technical interviews by practising troubleshooting scenarios related to data management. Be ready to discuss your past experiences with complex data issues and how you resolved them, as this will highlight your problem-solving 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. Emphasise your hands-on experience with database technologies and any industry certifications you hold.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data management and your problem-solving skills. Mention specific projects or experiences where you've successfully resolved complex data issues or optimised performance.
Highlight Relevant Skills: In your application, clearly outline your expertise in ETL tools, data integration, and metadata management. Include any experience with Azure Purview or similar MDM tools, as these are highly desirable for the role.
Showcase Collaboration Experience: Since the role involves working with IT teams and business stakeholders, include examples of how you've collaborated effectively in past roles. This could be through cross-functional projects or training initiatives you've led.
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 in the role.
✨Understand Data Governance
Familiarise yourself with data governance principles and how they apply to the role. Be ready to discuss your experience with data quality management and compliance, as these are crucial for maintaining effective data management systems.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you diagnosed complex data-related issues and how you resolved them, particularly in a Level 3/4 support context.
✨Demonstrate Collaboration Skills
Since the role involves working with IT teams and business stakeholders, be prepared to discuss how you've successfully collaborated in past roles. Share examples of how you enhanced data management capabilities through teamwork.
