26 to 50 of 371 Metadata Jobs

and other enterprise database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with More ❯

Banner tables, data schema, and ERP integrations. Familiarity with reporting and BI tools (Power BI, Tableau, Cognos, etc.). Understanding of data governance, data modeling (ER/Dimensional), and metadata management. Knowledge of student information systems (SIS) and higher education data standards is a plus. Excellent communication and analytical skills. Preferred Skills: Experience in higher education, with knowledge of Student More ❯

stable “batch-first” integration strategy with AS400 during its .NET migration, with a roadmap toward API integration. Data Governance & Quality Implement the technical foundation for data governance – quality checks, metadata management, and master data validation. Embed business rules and validation logic directly within data pipelines. Define and manage data security and access controls (Azure and Power BI row-level security More ❯

data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of data governance frameworks and compliance standards. Familiarity with machine learning pipelines or AI model integration. A proactive, detail-oriented approach and More ❯

data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of data governance frameworks and compliance standards. Familiarity with machine learning pipelines or AI model integration. A proactive, detail-oriented approach and More ❯

data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of data governance frameworks and compliance standards. Familiarity with machine learning pipelines or AI model integration. A proactive, detail-oriented approach and More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at b.forbes@tenthrevolution.com or you can More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at b.forbes@tenthrevolution.com or you can More ❯

scripts to Azure Data Factory and Synapse Pipelines. Identify, create, prepare data required for advanced analytics, visualization, reporting, and AI/ML. Implement data migration, data integrity, data quality, metadata management, and data security functions to optimize data pipelines. Monitor and troubleshoot data related issues to maintain high availability and performance. Implement governance, build, deployment and monitoring to automate platform More ❯

quality aspects of regulatory submissions, audits, and assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations.Strong understanding of data governance, data management, and metadata practises.Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend).Familiarity with cloud-based data architectures (Azure, Databricks, Power BI).Strong analytical and problem-solving skills, with More ❯

solution in form of architecture and interface diagrams. • Proficient at Python, Spark and R are essential. .NET based development is a plus. • Knowledge and experience with data governance, including metadata management, enterprise data catalog, design standards, data quality governance, and data security. • Experience with Agile process methodology, CI/CD automation, and cloud-based developments (Azure, AWS). • Not required More ❯

efficiency Information and Data Management Lead the development and maintenance of information management and enterprise data management frameworks to ensure data quality, consistency, and availability Oversee data integration, taxonomy, metadata management, and data stewardship initiatives Ensure proper architecture and tooling for data pipelines, data lakes, and enterprise reporting platforms Platform Architecture and Delivery Own the design, delivery, and evolution of More ❯

/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. Strong analytical, communication, and stakeholder engagement skills. Exposure to machine learning engineering is desirable. Interested More ❯

Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. Strong analytical, communication, and stakeholder engagement skills. Exposure to machine learning engineering is desirable. Interested More ❯

features: schema design, micro-partitioning, warehouses, tasks, streams, and Snowpark. Familiarity with replication and transformation tools (Airbyte, DBT) and cloud ecosystems (AWS preferred). Strong understanding of data governance, metadata, and lineage frameworks. Experience enabling BI tools (e.g., Power BI) through Snowflake data models. Desirable: Experience in data migration, change management, and enterprise rollout of modern data platforms. What you More ❯

In-depth knowledge of database design, structures, and data mining techniques. Skilled in Kimball methodology and Data Vault modelling approaches. Strong understanding of database fundamentals and practical experience designing metadata-driven ingestion and transformation pipelines. Hands-on experience with Master Data Management (MDM), data cataloguing, and data lineage tracking. Advanced proficiency with Microsoft Azure data services, including Databricks, Azure Data More ❯

In-depth knowledge of database design, structures, and data mining techniques. Skilled in Kimball methodology and Data Vault modelling approaches. Strong understanding of database fundamentals and practical experience designing metadata-driven ingestion and transformation pipelines. Hands-on experience with Master Data Management (MDM), data cataloguing, and data lineage tracking. Advanced proficiency with Microsoft Azure data services, including Databricks, Azure Data More ❯

technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform). Understanding of regulatory frameworks More ❯

implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. More ❯

data quality, integrity and compliance with governance policies and regulatory standards. Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security. Develop and maintain data lineage, metadata and architecture documentation. Support reporting and analytics initiatives by ensuring data availability and consistency across systems. Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯

data quality, integrity and compliance with governance policies and regulatory standards. Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security. Develop and maintain data lineage, metadata and architecture documentation. Support reporting and analytics initiatives by ensuring data availability and consistency across systems. Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯

including data security and access control. Experience developing and maintaining architecture artefacts, policies, and standards. Ability to build business cases, including cost/benefit and risk analysis. Familiarity with metadata management, data classification, and authoritative sources. Strong communication and stakeholder management skills, able to engage both technical and business leaders. Desirable London Market or wider insurance industry experience. Understanding of More ❯

glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualisation. More ❯