76 to 100 of 411 Permanent Metadata Jobs

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 ❯

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 ❯

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 ❯

in a matrixed environment. Technical Skills: Deep understanding of data governance tools and technologies (e.g., Collibra, Informatica, Alation) and their role in automating governance processes. Familiarity with data architecture, metadata management, and master data management concepts. Soft Skills: Exceptional communication and presentation skills, with the ability to convey complex ideas to both technical and non-technical audiences. Strategic thinker with 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. Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all More ❯

Familiarity with database concepts and data modeling Experience working in entertainment, media, or creative industries Understanding of digital music platforms, streaming services, or music production workflows Knowledge of music metadata standards and digital asset management Technical Skills Requirements management tools (Jira, Confluence) Microsoft Office Suite (Excel, Word, PowerPoint, Visio) Process modeling and documentation tools Basic understanding of databases and SQL More ❯

across products and services. Collaborate with internal teams and suppliers to resolve data issues and enhance workflows. Manage bespoke data requests and provide technical support to internal teams. Ensure metadata accuracy and drive improvements in data governance. Mentor more junior staff and contribute to team KPIs and continuous improvement. About You: - You will have a qualification in GIS or a More ❯

vector databases (e.g., Pinecone, Quadrant, Chroma) and indexing & similarity search (e.g., FAISS, HNSW, ScaNN, Annoy) Proficiency in hybrid search methods (semantic + keyword search, e.g., BM25 + ANN) and metadata filtering/hybrid retrieval pipelines Ability to design and operationalize AI agent frameworks and perform prompt/context engineering Software & Infrastructure: Strong programming experience in Python, Java, or C++ Familiarity More ❯

and organizational skills to maintain data governance artifacts and support audits and compliance requirements. Proficient in ESRI suite of tools, geodatabase technologies and web capabilities Understanding of geospatial data metadata, standards, and implementation ESRI Model Builder and/or Python/ArcPy experience preferred Company EEO Statement Accessibility/Accommodation: If because of a medical condition or disability you need More ❯

CI/CD. Primary Responsibilities Play a hands-on role as part of an Agile team. Actively contribute to the codebase and participate in peer reviews. Design and build metadata driven, event based distributed data processing platform using technologies such as Python, Rust, EC2, ECS, S3, Glue, Athena, Lambda and Step Functions. Work collaboratively in the design, development, testing and More ❯

communication skills. Responsibilities include, but are not limited to, the following: Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization Acquire and analyze data and metrics across the enterprise to learn how they can be incorporated into data visualizations and dashboards Collaborate with business areas 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 ❯

Solid understanding of data modeling, data warehousing, and performance tuning. Familiarity with DevOps/CI/CD tools and version-controlled data assets. Experience working with data cataloging and metadata tools. Demonstrated knowledge of federal data governance, privacy, and security controls (NIST 800-53, FISMA, FedRAMP). Strong communication skills and ability to work across teams (analysts, security, product owners … EMR for large-scale data processing. Familiarity with BI tools. Exposure to data lakehouse architecture and Delta Lake or Iceberg formats. Familiarity with semantic layer/ontology development for metadata-rich environments. Knowledge of AI/ML pipelines and integration with model-serving platforms (e.g., SageMaker, MLflow). Physical Requirements: Ability to sit for extended periods while working on a More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

schemas, and migration plans Write SQL and Python code for relational databases (SQL Server, PostgreSQL) Support enterprise geospatial systems and spatial data management Implement and document data quality rules, metadata, and validation processes Collaborate with NPS teams on system design, troubleshooting, and improvement Automate and optimize data workflows and infrastructure Qualifications: BA/BS degree + 2 years of data More ❯

Expertise in data governance, BI/MI, and CRM systems, with a proven ability to align them to SDR requirements. Advanced knowledge of data quality frameworks, master data management, metadata, and reference data hierarchies. Proficiency in data validation, cleansing technologies, and lineage tracking. Familiarity with ETL/integration pipelines and validation of outputs for regulatory purposes. Excellent written and verbal More ❯

gaps and inconsistencies, identifying areas for improvement Ability to manage and govern structured and unstructured datasets across pre-production/test, operational, and enterprise-wide environments Validate and maintain metadata and data records to meet defined standards of quality, traceability, and mission utility Participate in planning meetings and technical reviews Support data readiness for business intelligence, AI/ML, and More ❯

not limited to): Architect and develop backend services for data ingestion, search, and retrieval across structured and unstructured data sources. Design APIs and microservices that enable search, indexing, and metadata operations across multiple environments. Engineer and maintain a unified access control layer and data models to protect and make operational and analytical data available. Implement DevSecOps practices, including CI/ More ❯