26 to 50 of 704 Metadata Jobs

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

controls, and compliance requirements are embedded within solutions. Conduct data diagnostics and readiness assessments to support AI and automation use cases. Build and maintain metadata, observability, and monitoring capabilities across data platforms. Act as a bridge between technical delivery teams and business stakeholders, translating complex requirements into effective solutions. Essential ...

Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades, and data platform transformations Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata-driven frameworks, and orchestration processes Collaborate with architects, analysts, and business stakeholders to translate business requirements into technical solutions Ensure data quality, reliability, performance ...

Tables and StructuredStreaming. Optimize Databricks resources forhigh-volume data processing without exceeding budget. Oversee the use of Databricks UnityCatalog for data governance, lineage, and metadata management. Develop and enforce robust datagovernance policies, ensuring compliance, security, and data quality. Monitor data pipeline performance andproactively resolve production issues. Collaborate with cross-functionalteams ...

architecture and distributed data processing Data Management Experience with ETL/ELT frameworks and data integration patterns Knowledge of data quality, data governance and metadata management Familiarity with big data technologies and streaming solutions is advantageous Experience & Education Required Bachelor’s degree in computer science, Information Technology, Data Engineering ...

Skills, Knowledge and Expertise Experience with any of the following: Azure, AWS and GCP cloud database technologies Design optimum data models, data dictionaries and metadata systems to support business needs Define data architecture standards for the organisation to support client needs Work with technical architects to ensure that client systems ...

Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics and Generative AI initiatives. Lead architecture reviews, technology selection and technical assurance across ...

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

data processing and distributed computing. Understanding of data warehousing concepts, dimensional modelling and ETL/ELT frameworks. Knowledge of data quality, data governance, metadata management and data security principles. Experience with CI/CD pipelines using Azure DevOps or GitHub, along with an understanding of cloud architecture. A bachelor ...

PySpark SQL and T-SQL Spark SQL XML XSD (XML Schema Definition) XPath XSLT JSON REST APIs Data warehousing methodologies Master Data Management (MDM) Metadata management Data quality frameworks Data governance and lineage Significant experience designing and implementing enterprise-scale Azure data platforms. Strong hands-on experience with Azure Data ...

Secure Government Data Architecture Practice. About you – Technical expertise Area: Enterprise Data Architecture; Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data ...

/or Databricks. Experience with AWS services, APIs, event‐driven integration and infrastructure as code. Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. Experience working with globally distributed teams and supporting cross‐functional transformation programs. Please note, Sony Interactive Entertainment conducts background ...

engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems ...

legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control ...

legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control ...

conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply ...

/ELT processes and dimensional modelling. Experience designing data models and documentation that are usable by AI/LLM-based analytics tools (semantic layers, metadata, access controls). In-depth knowledge of cloud data infrastructure, ideally GCP (Azure or AWS also considered). Excellent problem-solving skills and the ability ...

engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems ...

/or Databricks. Experience with AWS services, APIs, event-driven integration and infrastructure as code. Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. Experience working with globally distributed teams and supporting cross-functional transformation programs. Please note, Sony Interactive Entertainment conducts background ...

lineage and data observability core parts of how every data product is built and run, rather than controls added after delivery. Include data contracts, metadata and certification standards in every data product, so each one is discoverable, trusted and auditable. Ensure data products and pipelines are secure and compliant ...

requiring sponsorship Desirable Qualifications AWS Certifications (Solutions Architect Associate or Professional, Data Analytics Specialty, AI or related credentials) Experience with data governance tools and metadata management platforms Experience delivering data solutions to enterprise clients Experience in the Telco & Media industry Experience building and Experience with generative AI tools ...

management hierarchies. Strong data modelling discipline and the ability to justify and maintain definitional standards, including canonical or semantic models, data contracts, schema evolution, metadata, lineage and data-quality controls. Experience extracting and reconciling data from enterprise applications or complex operational systems using APIs, files, database interfaces or change-data ...

legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control ...