6 of 6 Metadata Jobs in Farnborough

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 ...

Denied, Degraded, Intermittent and Limited (DDIL) communications environments, enabling edge deployments Building streaming ingestion, event pipelines, and batch/stream processing workloads Implementing metadata, lineage, and catalogue capabilities with policy-based security and governance Job Requirements: Experience as a data/platform engineer working on distributed systems in production Hands ...

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 click apply for full job details ...

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 patterns Building and operating workflow automation capabilities to enable repeatable, governed analyst workflows Delivering configurable data integration through curated connectors and standard transformation … edge Building streaming ingestion, event pipelines, and batch/stream processing workloads using technologies like Apache Flink and/or Apache Spark Implementing metadata, lineage, and catalogue capabilities along with policy-based security and governance Job Requirements: Extensive experience as a data/platform engineer working on distributed systems ...