51 to 75 of 704 Metadata Jobs

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 ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government or other ...

patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic ...

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 ...

governance standards covering cataloguing, lineage, quality, access control, and PII. Lakehouse architecture Define the Lakehouse target architecture: storage, table format, query engine, ingestion, metadata, and the standards that govern it. Set the patterns for multi-tenant isolation, row- and column-level security, and PII handling. Define the streaming and batch ...

Code. Experience applying Snowflake capabilities to data engineering, analytics and, where relevant, machine learning and AI workloads. Experience establishing enterprise governance capabilities such as metadata management, lineage, data quality controls and access controls. Experience with production-grade orchestration, monitoring, observability, performance optimisation and cost-aware platform design. Connect to your ...

analytics output. Embed AI‐enabled ways of working across the data function (for example automated data quality monitoring, AI‐assisted development and testing, metadata and documentation generation, and natural‐language access to insight). Partner with business areas to identify, prioritise and deliver high‐value AI use cases across ...

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 ...

efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. As a lead, you will contribute to architecture reviews, mentor junior data modelers, and support data governance initiatives. You will also play a role ...

validation, reconciliation and data-quality controls to ensure information is accurate, complete, consistent and trustworthy Data Management & Governance – Support good data-management practices including metadata, data lineage, data definitions, ownership, classification and lifecycle management Security & Access – Apply appropriate security controls across AWS and Power BI, including IAM, least privilege, encryption ...

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 ...

audit data strategies, continuous monitoring, and automated control testing Experience with cloud-based data platforms and modern data engineering technologies Knowledge of data lineage, metadata management, and regulatory reporting requirements Pay range: $59.30 - $69.30 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered ...

financial services experience.Knowledge of pricing, underwriting, delegated authority, bordereaux, and exposure data.Experience with data lakes, lakehouses, warehouses and Microsoft Fabric capabilities.Familiarity with data governance, metadata management and data quality frameworks.Experience working within Agile or multidisciplinary delivery teams.What is in it for you:Be part of the fastest-growing AI-first ...

successful delivery of the Greyhound programme. To be successful as an Engineering Lead, you should have the following essential skills: Knowledge of data lineage, metadata management, and data governance frameworks. Experience with Business Intelligence and reporting platforms, including Power BI, Tableau, and Qlik. Validated experience working with modern data platforms ...

standards like FHIR, HL7 and SNOMED CT. Data contracts or other shift-left approaches to data quality. Preparing data for AI use: semantic layers, metadata, vector databases or exposing data to AI agents. Using AI-assisted tools to build, test or document pipelines, and judging when their output ...

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 ...

accurate, complete and reliable. Use Git and CI/CD to develop, test and deploy analytics code through controlled environments. Maintain clear documentation, ownership, metadata, business definitions, lineage and access controls for analytical data products. Optimise data models, transformations and queries for performance, scalability and cost efficiency. Build strong, productive ...

Knowledge of pricing, underwriting, delegated authority, bordereaux, and exposure data. Experience with data lakes, lakehouses, warehouses and Microsoft Fabric capabilities. Familiarity with data governance, metadata management and data quality frameworks. Experience working within Agile or multidisciplinary delivery teams. What is in it for you Be part of the fastest-growing ...

evolve enterprise‐scale data architectures supporting analytics, AI, and digital use cases. Deep expertise in data architecture principles, including data modelling, integration patterns, metadata, and information lifecycle management. Strong hands‐on experience with cloud‐based data platforms (Azure preferred or equivalent), including data lakes, data warehousing, and analytics platforms. Demonstrated ...

ensuring compliance with data standards, policies, and GDPR requirements. Manage and maintain master data, driving consistency across integrated systems and processes. Develop data definitions, metadata, and reporting standards to create a trusted "single source of truth". Partner with stakeholders across Supply Chain, Production, Maintenance, Quality, and Engineering to align ...

checks, lineage, cataloguing and data observability into every pipeline and data product from the start, rather than adding them after delivery. Implement data contracts, metadata and certification standards so each data product is discoverable, trusted and auditable. Apply security and compliance by design, including role-based access control, secrets management ...

Data Vault modelling where they suit the client’s needs. Create and maintain conceptual, logical and physical data models, with corresponding metadata, that translate business needs into long‐term solutions. Cover core insurance domains such as policy, premium, claims, exposure, reinsurance and finance. Design gold‐layer (consumption) models and, where … data estate (e.g. Databricks, ADLS Gen2, Azure Data Factory, Event Hubs), and document the rationale and trade‐offs. Design and oversee the building of metadata‐driven data ingestion frameworks on Databricks (e.g. Auto Loader, Lakeflow Declarative Pipelines, Workflows), using configuration rather than bespoke code to onboard new sources, handle schema ...

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 ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...