Data Management Specialist (Azure)

JR United Kingdom; Basingstoke; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in data management seeks an expert Data Management Specialist. The role demands extensive experience in data platforms like Azure SQL and Databricks, ensuring data governance, optimization, and effective troubleshooting. Candidates should hold a degree in IT or related fields, with relevant industry certifications preferred.

Qualifications

• 4+ years in data management, data operations, or IT support with 2 years in advanced support.
• Industry certifications like Microsoft Certified: Azure Data Engineer Associate are desirable.

Responsibilities

• Serve as the technical escalation point for complex data-related issues.
• Maintain, monitor, and improve data management systems.
• Implement data quality frameworks and manage metadata initiatives.

Skills

Data governance

Data quality management

Troubleshooting

Root cause analysis

Performance optimisation

Education

Bachelor’s degree in Information Technology

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Management

Tools

Azure Data Factory

ServiceNow

Azure Purview

Databricks

Oracle

PostgreSQL

Profisee

CluedIn

Semarchy

Job description

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Job Views:

4

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

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.
• 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.
• 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.