51 to 75 of 750 Metadata Jobs

applications. Experience with Power BI, QuickSight, or similar tools for analytics. Adherence to ETL/data management best practices (e.g., incremental loads, error handling, metadata logging). Knowledge of data protection regulations (GDPR, CCPA) and security protocols (encryption, RBAC). Agile/SCRUM practitioner with experience in offshore team collaboration. ...

platforms worldwide. As demand for high-quality AI training data accelerates, we're uniquely positioned to transform our extensive video library into valuable datasets, metadata and insights for AI companies. We're looking for a Data Science & Analytics Lead to help us get more value from our data, improve ...

PostgreSQL or comparable enterprise platforms. Exposure to Spark-based processing, orchestration frameworks, CI/CD, containers and cloud data services. Familiarity with semantic layers, metadata management and development of governed, AI-ready data products. Understanding of data governance, privacy, security, lineage and retention expectations. Experience in financial services, audit, risk ...

Building large-scale data lake architectures on Amazon S3 and open table formats Implementing governance and cataloging through AWS Lake Formation. Developing ETL and metadata frameworks using AWS Glue. Leveraging AWS Lambda for serverless data processing. Running distributed data workloads on Amazon EMR. Enabling real-time data pipelines with ...

guidance and mentoring. Experience Required Data Architecture: Strong experience in data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation ...

Functions, or Data Factory). Understanding of enterprise integration patterns and familiarity with event-driven architectures. Knowledge of data quality, master data management, or metadata management concepts. Experience working with modern API management platforms. Exposure to Agile frameworks, such as SAFe Agile, Scrum, or Kanban. Knowledge of security principles ...

Functions, or Data Factory). Understanding of enterprise integration patterns and familiarity with event-driven architectures. Knowledge of data quality, master data management, or metadata management concepts. Experience working with modern API management platforms. Exposure to Agile frameworks, such as SAFe Agile, Scrum, or Kanban. Knowledge of security principles ...

Power Automate and Teams) with legacy systems and cloud platforms such as Azure and GCP. Setting and assurance data architecture standards, including data models, metadata, storage, sharing and publishing approaches to maximise the value of BTP’s data assets. Providing expert advice, assurance and governance across data and solution architecture ...

. Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards + ...

conceptual, logical, and physical data modelling Ability to define canonical, domain, shared, reference, and analytical data models Good understanding of data governance, data quality, metadata, lineage, traceability, and auditability Experience shaping data strategy and translating it into practical roadmaps aligned to business outcomes Knowledge of data migration strategy, including source ...

stakeholders to enable self‐serve analytics and consumption. Good to Have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal and written ...

workloads for performance and cost, and embedding quality checks and validation into every pipeline Implementing governance in practice: Unity Catalog, Azure Purview, data lineage, metadata and monitoring Automating deployments through CI/CD in Azure DevOps and promoting DevOps practice across the team Working directly with economists and data scientists ...

practices across security, performance, scalability and cost optimisation. Provide technical leadership, architecture governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into ...

containerized services in Kubernetes environments Strong expertise with SQL and NoSQL systems, including schema design and optimization Knowledge of data governance processes, tools, and metadata management solutions Experience with infrastructure as code and platform engineering practices Experience implementing and maintaining CI/CD workflows Understanding of access control frameworks ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

explain complex technical concepts to diverse stakeholders Experience working in regulated environments (aviation, financial services, healthcare, or similar) Familiarity with data governance, lineage, metadata management, and audit requirements Experience overseeing third-party vendors or delivery partners Exposure to modern data platforms supporting analytics and BI workloads Technical Skills AWS Certification ...

solutions, documenting them as GAPs and aligning them with Architects Data Governance & DiscoveryFacilitate data discovery and enhance data management processes using platforms like Open Metadata Ensure KPIs and documentation remain accurate and up to date Support data quality and compliance standards across the organization Innovation & OperationsInitiate and experiment with ...

network topology, entity relationships, dependency mapping, service impact, and fault propagation.* Work with AI/LLM engineers to provide high-quality features, embeddings, metadata, and contextual datasets for RAG and agentic AI systems.* Define network data quality rules, correlation logic, and entity resolution methods.* Create reusable analytical models ...

Enable high-quality data for client-facing products (reporting, AI/ML) and operations. Co-author data governance practices with the Data Governance Lead: metadata, data quality, lineage, privacy, compliance within Databricks Unity Catalog. Review solution designs for architectural alignment and risk reduction, eliminating duplication and maximising reusability at cost ...

role. Experience building data pipelines, transformations and reusable datasets using Python, SQL and modern data platforms. Good understanding of data modelling, data quality, testing, metadata, lineage and production release. Experience integrating data across APIs, databases and enterprise applications. Strong problem‐solving skills, with the ability to understand existing technical solutions ...

role. Experience building data pipelines, transformations and reusable datasets using Python, SQL and modern data platforms. Good understanding of data modelling, data quality, testing, metadata, lineage and production release. Experience integrating data across APIs, databases and enterprise applications. Strong problem-solving skills, with the ability to understand existing technical solutions ...