76 to 100 of 630 Permanent Metadata Jobs

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 ...

architectural integrity rather than hands‐on coding. Ensuring Governance & Quality: Establish Strong Data Governance, partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., OpenMetadata), and data quality controls, promoting data democratisation and self-service. Adhere to Security & Compliance by integrating information security standards and FDJ United ...

data architecture transformation Experience with business capability models, process taxonomies and maturity assessments Experience designing or governing data platform architectures , including data quality, metadata, security, privacy and compliance Understanding of public and private cloud architectures Experience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers) Experience ...

Python.Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment ...

Azure) and Data Lakehouse ArchitecturesYou have experience of designing and implementing technical data governance strategies with a focus on data quality and discoverable metadata, with practical knowledge of data-mesh or data-product-oriented architecturesYou are passionate about communicating complex concepts succinctly to both technical and non-technical audiences ...

interrogate datasets, validate outputs and support decision-making, performance monitoring and service improvement activities.D4 Strong understanding of data lifecycle management principles, including data quality, metadata management, data migration and data retention strategies.D5 Ability to communicate effectively with technical specialists and translate complex technical concepts into clear business-focused recommendations ...

cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions. Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging technologies including … Cloud and/or Databricks Lakehouse Platform. Strong knowledge of cloud-native data architectures across Azure and AWS Strong understanding of data governance, security, metadata management, and data lifecycle management. Understanding of AI/ML data requirements and modern analytics platforms. Knowledge of big data processing frameworks and distributed computing ...

Price Verification (IPV) platform supporting a global Refined Product Trading organization. The Solution Architect will define the end-to-end architecture for a governed, metadata-driven IPV Control Hub that replaces fragmented Excel, Microsoft Access, VBA, and email-based processes with an automated, controlled, and SOX-compliant enterprise solution. … reusable components. Design scalable Dataiku processing frameworks that support more than 70 internal and external data sources, including structured and unstructured data. Define metadata-driven frameworks for managing brokers, source priorities, mappings, thresholds, currencies, units of measure, regional variations, approval paths, and business rules. Design reusable Dataiku project templates ...

/data pipelines Data modelling, lakehouse architecture and modern data platforms Azure data services API and third-party system integration Data quality, governance, metadata and lineage Git, CI/CD and engineering best practices This role would suit someone who enjoys solving complex data challenges, thinks beyond individual pipelines ...

Security, Governance and Product teams The ability to translate complex technical decisions into clear recommendations for both technical and non-technical audiences Exposure to metadata management, data cataloguing, data quality or observability platforms would be advantageous. Why consider this opportunity? This is not a purely conceptual architecture position. You will ...

models, and align BI solutions with business objectives.- Present insights and recommendations to senior executives in a clear, structured format.- Implement data governance standards, metadata management, and ensure compliance with organizational policies.- Mentor junior analysts and engineers, fostering a culture of continuous learning and innovation.What You’ll BringEducation & Experience - Bachelor ...

providing technical specifications and solution architecture for data flows.Technical proficiency in tools such as SQL, Python, ETL platforms, API gateways, Snowflake, Databricks, and metadata management platforms.To be successful in this role, we’re seeking the following: Bachelor’s degree or the equivalentAdvanced/graduate degree preferred Severeal years of total ...

complexity and cost.Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.Take established best practices and standards ...

complexity and cost.Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.Take established best practices and standards ...

platforming, modernisation and data architecture transformationExperience with business capability models, process taxonomies and maturity assessmentsExperience designing or governing data platform architectures, including data quality, metadata, security, privacy and complianceUnderstanding of public and private cloud architecturesExperience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers)Experience contributing ...

platforming, modernisation and data architecture transformationExperience with business capability models, process taxonomies and maturity assessmentsExperience designing or governing data platform architectures, including data quality, metadata, security, privacy and complianceUnderstanding of public and private cloud architecturesExperience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers)Experience contributing ...

store with proper versioning and lineage; polling an external API and landing it as a Hive-partitioned Parquet dataset; storing document blobs and their metadata via a document-management approach. There will be many more shapes; your job is to choose the right one each time rather than force ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...