26 to 50 of 297 Remote/Hybrid Metadata Jobs

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 ...

. 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 + ...

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 ...

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 ...

Snowflake and brings together marketing, financial and other operational data across sites in multiple countries. This role will define the models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance ...

Snowflake and brings together marketing, financial and other operational data across sites in multiple countries. This role will define the models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance ...

Snowflake and brings together marketing, financial and other operational data across sites in multiple countries. This role will define the models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance ...

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 ...

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 ...

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 ...

Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution ...

measurable outcomes. Data Strategy, Governance & Semantic Technologies: Help clients establish trusted and connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models to create a shared understanding ...

Azure) and Data Lakehouse Architectures You 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 architectures You are passionate about communicating complex concepts succinctly to both technical and non-technical ...

Azure) and Data Lakehouse Architectures You 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 architectures You are passionate about communicating complex concepts succinctly to both technical and non-technical ...

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 ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering standards ...

Have Experience with TypeScript or JavaScript Experience contributing to frontend applications (React) Familiarity with observability tooling (logging, monitoring, tracing) Experience with data modelling and metadata management Exposure to CI/CD practices for data pipelines and services Experience working in delivery-focused, agile environments Please note: We offer flexible hybrid ...

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 ...

quality and enrichment, focusing on the most critical data first and tracking the tangible ‘value-add’ with data consumers. Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. Manage Risk & Alignment: Engage with stakeholders ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

products that are discoverable, versioned, self-describing, and aligned with data mesh and product-centric principles Establish best practices for product design, schema management, metadata standards, lineage, and lifecycle governance Ensure data products are optimized for performance, scalability, reliability, and cost efficiency Promote consistency across product domains while enabling autonomy … Technical Leadership & Standards Serve as a senior technical authority for data product architecture across the program Define architectural best practices for Delta Lake design, metadata management, product lifecycle governance, and data quality controls Provide architecture assurance and design reviews for data products developed by internal and third-party teams Guide ...

Consultant is responsible for the implementation, configuration, and ongoing support of the Alation Data Intelligence Platform. The role focuses on onboarding data sources, enabling metadata management and governance capabilities, and ensuring the platform operates effectively to support data discovery, cataloging, and stewardship initiatives. Key Responsibilities Platform Setup & Deployment Install, deploy … platform settings, user roles, permissions, workflows, stewardship, and governance features. Perform platform administration, monitoring, troubleshooting, performance tuning, and regular maintenance activities. Data Source Onboarding & Metadata Hydration Connect and onboard databases, data warehouses, BI tools, data lakes, and other enterprise data sources into Alation. Support migration of metadata from legacy repositories ...