51 to 75 of 341 Metadata Jobs

and systems engineering in support of integrating model context protocol (MCP) servers. Code data pipelines using tools such as LangChain, Granite-Docling, and langextract to extract text, and images metadata and metadata definitions from data. Mapping Metadata and metadata Supporting Machine Learning and Artificial Intelligence development Designing and coding new software and/or modifying existing software to add new More ❯

technical and business stakeholders to ensure shared understanding and effective solutions. Main duties of the job Accountabilities Work with the engineering team to implement enterprise data models, pipelines, and metadata management Collaborate with business, product, and engineering teams to understand data needs and translate them into functional data products, aligning our data architecture with wider organisational digital strategies and priorities … tasks. Advanced database manipulation and administration skills, particularly T-SQL, Azure SQL, as well as capacity with unstructured and unlinked data management languages. Experience using and implementing schema and metadata design (e.g., star schema, snowflake, normal forms), with strong understanding of master and reference data management. Experience working with Azure/GCP building and managing data solutions such as data … visualisation, APIs, including understanding and application of good practice in these areas oEvidence of developing and delivering effective data engineering projects, including data architecture, data modelling, ETL processes, and metadata management concepts oEvidence of using tools such as Git, GitHub and/or Azure DevOps to effectively manage work flow, version control, and collaborative development, and use of Agile delivery More ❯

CD pipelines and infrastructure-as-code tools (e.g., Terraform). Familiarity with ArcPy and geoprocessing services. Understanding of OGC standards (WMS, WFS, GeoJSON, etc.). Knowledge of data governance, metadata standards, and geospatial data quality assurance. Experience working in Agile development teams or DevOps environments. CLEARANCE: TS/SCI with CI Polygraph minimum More ❯

modelling, and master data management Excellent communication skills and ability to translate business needs into technical solutions Prior experience managing data engineering teams Background in music industry data or metadata (a plus) Compensation & Benefits Salary: Up to £100,000 Bonus: 10% annual performance bonus Pension: Up to 9% employer contribution Hybrid working: 3 days/week in London office More ❯

engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance with data privacy and security standards. Implement secure data sharing protocols with More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

for clients, bring consulting expertise to complex environments, and mentor the next generation of architects. The Role Lead on data architecture design, covering data modelling, data analysis, data migration, metadata management, and governance. Work directly with clients to define and deliver data strategies, ensuring solutions are robust, scalable, and aligned to business needs. Provide consulting expertise across public sector and More ❯

technical leadership skills. PREFERRED SKILLS: • Experience in DoD environments or IL5/IL6 cloud instances. • Knowledge of ITIL, data governance, and federated data standards. • Background in architecture frameworks and metadata management. COMPENSATION: • Excellent compensation commensurate with experience in related field(s) and performance • Major medical, dental, and vision • Paid holidays • Paid Time Off (PTO) Job Type: Full-time Compensation Package More ❯

outputs Regulatory compliance: Meeting standards like SR 11-7 (US), EU AI Act, or OSFI E-23 (Canada) Continuous monitoring: Watching for drift, bias, or performance degradation in outputs Metadata management: Capturing context around outputs (e.g., who used them, for what purpose) Qualifications Bachelors Degree AND Seven or more (7+) years relevant expertise and experience Experience reviewing current production schedules More ❯

reusable data products for analytics, reporting and client engagement Collaborate with stakeholders to translate strategic objectives into technical architecture and delivery roadmaps Define and implement data governance standards including metadata management and access controls Support DevOps practices using tools like Terraform, GitLab and Cloud Build Why Lloyds Banking Group: Like the modern Britain we serve, we're evolving. Investing billions More ❯

on experience with RAG systems , vector databases (pgvector/FAISS/Weaviate/ES k-NN), embeddings , and hybrid search (BM25 + vectors). Strong grasp of chunking strategies , metadata, indexing, recall/precision trade-offs, reranking, and evaluation (ground-truth sets, offline/online metrics). Strong proficiency in Python (FastAPI) and React/Next.js . Solid experience with More ❯

on experience with RAG systems, vector databases (pgvector/FAISS/Weaviate/ES k-NN), embeddings, and hybrid search (BM25 + vectors). Strong grasp of chunking strategies, metadata, indexing, recall/precision trade-offs, reranking, and evaluation (ground-truth sets, offline/online metrics). Strong proficiency in Python (FastAPI) and React/Next.js. Solid experience with SQL More ❯

Responsibilities Include: Work with teams of data and system engineers to design, develop, build, analyze, and evaluate data management systems to include database modeling and design, relational database architecture, metadata and repository creation and configuration management. Use data mapping, data mining and data transformational analysis tools to design and develop data repositories. Integrate disparate raw data from across the federated More ❯

Responsibilities Include: Work with teams of data and system engineers to design, develop, build, analyze, and evaluate data management systems to include database modeling and design, relational database architecture, metadata and repository creation and configuration management. Use data mapping, data mining and data transformational analysis tools to design and develop data repositories. Integrate disparate raw data from across the federated More ❯

unique insight and intelligence opportunities within the data Experience within at least two (2) of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Data science Advanced analytical algorithms Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models More ❯

developers, analysts, and ML engineers to operationalize data at the speed of mission. You'll guide teams in designing secure, production-grade data infrastructure-whether that means graph-backed metadata stores, optimized ETL pipelines across PostgreSQL and MongoDB, or deploying vector models inside containerized APIs running on AWS GovCloud. You'll not only write the code but also design the More ❯

technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with industry standards More ❯

CD pipelines and infrastructure-as-code tools (e.g., Terraform). Familiarity with ArcPy and geoprocessing services. Understanding of OGC standards (WMS, WFS, GeoJSON , etc.). Knowledge of data governance, metadata standards, and geospatial data quality assurance. Experience working in Agile development teams or DevOps environments. In support of pay transparency at Maxar, we disclose salary ranges on all U.S. job More ❯

transformation roadmaps. Data Governance & Management Design and implement data governance frameworks (e.g., DAMA, DCAM). Define data ownership models, stewardship roles, and data quality KPIs. Support the implementation of metadata management, lineage tracking, and data cataloging tools. Required Qualifications & Experience: - 15+ years of experience in data advisory, data strategy, or data management roles. - 8-10 years of experience working within More ❯

Administer and maintain enterprise SharePoint environments (on-premises and/or SharePoint Online), including configuration, user permissions, site creation, and performance monitoring. Design and implement database structures, relational architectures, metadata repositories, and data dictionaries in support of SharePoint solutions. Support DBMS applications associated with SharePoint, including data modeling, transformation, mapping, and mining activities. Develop and document long-range SharePoint infrastructure More ❯

leading across Product, Engineering, and Data teams. Experience navigating ambiguity and delivering structure to complex, evolving domains. We'd love to see: Experience with data governance, quality frameworks, and metadata management. Understanding of third-party entity data providers and integration strategies. Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions. Awareness of emerging More ❯

of APIs (e.g., REST), access control, and auditing Experience with message queuing, stream processing, and optimizing 'big data' data stores Experience developing build processes supporting data transformation, data structures, metadata, dependency and workload management Expert SQL knowledge and experience working with a variety of databases Experience using the following software/tools: Big Data tools: e.g. Hadoop, Spark, Kafka, ElasticSearch More ❯

amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers Data Layer Data Governance Team - Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse Product Teams - Collaborating with BCG's product team members to integrate required data sources into GenAI-enhanced offerings Agile Coaches - Embedding More ❯

and ETL pipelines. Provide strong proficiency with data modeling, database design, and SQL optimization. Demonstrate familiarity with AWS, Azure, or other cloud platforms and their data services. Experience with metadata management, data cataloging, and data governance practices. Lead development and implementation of analytics solutions to solve business problems and optimize mission execution. Provide guidance in applying appropriate algorithms, solutions, and … enforce data governance policies, standards, and procedures to ensure data quality, integrity, and security. Develop and manage System Interface Agreements (SIAs) to support seamless data exchange across systems. Implement metadata management and create data catalogs to enhance data discoverability and usability. Support the development of scalable data solutions to handle high-volume, complex datasets. Collaborate with program stakeholders, technical teams More ❯