8 of 8 Metadata Jobs in Hampshire

implementing and promoting data quality frameworks, service level objectives (SLOs), data contracts, and observability tooling. Strong understanding of data governance principles, including data lineage, metadata management, cataloguing, security, and access controls. Experience ensuring compliance with regulatory and organisational requirements, including GDPR, data retention, and information security controls. Proven ability ...

/event telemetry. Ensure data flows are resilient, observable, and architected for reliability and cost efficiency. Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards, implemented through Unity Catalog. Ensure that data architecture adheres to Quantios’ security, privacy, and regulatory requirements. Define ...

geodatabase design, SQL/spatial databases, data integration and analytical workflows relevant to marine/coastal consultancy. Strong understanding of data governance, quality assurance, metadata, coordinate systems and geospatial best practice. Ability to provide technical leadership and assurance on complex projects, including solution design, peer review, risk management and delivery ...

Farnborough to recruit a Data Architect - Fabric for a permanent role. You will lead end-to-end Data Fabric architecture, including integration, processing, storage, metadata, governance and consumption patterns, shaping the technology roadmap across environments. You will mentor Data Fabric Engineers and Data Analysts, ensuring security, scalability and operability ...

Farnborough, where innovation meets strategy in groundbreaking technology initiatives. Key Responsibilities: Leading the Data Fabric architecture end-to-end: including integration, processing, storage, metadata/lineage, governance and consumption patternsEstablishing and maintaining the architecture roadmap, encompassing technology evolution, capability increments and deployment waves across environmentsDirecting architecture for data integration … established architecture through strategic roadmaps, standards, patterns, and governanceProficient knowledge of on-premises, cloud, and hybrid platforms with a deep understanding of data governance, metadata, lineage, data quality, stewardship, and lifecycle managementExperience designing and governing architectures for constrained or mission-critical environments, including edge deployments and contested connectivity patternsExperience leading ...

Farnborough, where innovation meets strategy in groundbreaking technology initiatives. Key Responsibilities: Leading the Data Fabric architecture end-to-end: including integration, processing, storage, metadata/lineage, governance and consumption patterns Establishing and maintaining the architecture roadmap, encompassing technology evolution, capability increments and deployment waves across environments Directing architecture for data … architecture through strategic roadmaps, standards, patterns, and governance Proficient knowledge of on-premises, cloud, and hybrid platforms with a deep understanding of data governance, metadata, lineage, data quality, stewardship, and lifecycle management Experience designing and governing architectures for constrained or mission-critical environments, including edge deployments and contested connectivity patterns ...

Fabric architecture Define architecture roadmaps, standards, governance and best practices Lead data integration and interoperability strategies across multiple environments Design scalable data processing, storage, metadata and governance solutions Establish architecture patterns and technical guardrails for engineering teams Lead architectural assurance and governance activities Support secure deployments across cloud, hybrid … Data Platform Engineering Experience owning architecture across complex enterprise programmes Knowledge of cloud, on‐prem and hybrid infrastructure environments Experience with data governance, metadata, lineage and lifecycle management Understanding of scalable integration patterns, APIs and event‐driven architectures Experience leading multidisciplinary engineering teams Strong stakeholder communication and technical leadership skills ...

Responsibilities: Designing, implementing, and evolving the event-driven data fabric architecture that supports automation and AI-based systems, including ingestion, integration, storage, processing, metadata, governance, and access patternsBuilding and operating workflow automation capabilities to enable repeatable, governed analyst workflowsDelivering configurable data integration through curated connectors and standard transformation patternsEngineering … processing at the edgeBuilding streaming ingestion, event pipelines, and batch/stream processing workloads using technologies like Apache Flink and/or Apache SparkImplementing metadata, lineage, and catalogue capabilities along with policy-based security and governanceJob Requirements: Extensive experience as a data/platform engineer working on distributed systems ...