Data Management Specialist (Azure)

Initialize; Barnard Castle; Hybrid; GBP 35,000 - 55,000; Full time

Job summary

A leading company is looking for a Data Management Specialist with expertise in Azure platforms to ensure efficient data management and governance. This role involves troubleshooting, support for data integration processes, and collaboration with various teams to enhance data management capabilities. Candidates should have a bachelor's degree in a relevant field and significant experience in data management, along with relevant certifications.

Qualifications

• 4+ years of experience in data management or IT support roles, with at least 2 years in Level 3/4 support.
• Industry certifications like Microsoft Certified: Azure Data Engineer Associate are desirable.
• Experience in ETL tools and data integration.

Responsibilities

• Serve as the technical escalation point for data management support.
• Maintain, monitor, and improve data management systems.
• Support data quality frameworks and governance policies.

Skills

Troubleshooting

Performance optimisation

Data governance

Data quality management

Metadata management

Data integration

API-based data exchange

Hands-on experience with databases

Education

Bachelor's degree in Information Technology, Computer Science, Data Management, or a related field.

Tools

Azure SQL databases

Databricks

Azure Data Factory

ServiceNow

Azure Purview

Profisee

CluedIn

Semarchy

Job description

Data Management Specialist (Azure) - Newcastle / Hybrid

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.).

Desirable:

• 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 and 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 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.

Create a job alert and receive personalised job recommendations straight to your inbox.