151 to 175 of 412 Permanent Metadata Jobs

MapBox, GeoServer, etc. • Experience using and managing spatial relational databases including Oracle, MSSQL, or PostGreSQL/PostGIS. • Extensive experience with geographically-derived assessments, enterprise data integration, spatial data governance, metadata management and interpretation of business and performance metrics. • Expert ability to present geospatial information via multimedia presentations and written reports. • Demonstrated experience using geospatial Python, R, SAS, Java or other More ❯

MapBox, GeoServer, etc. • Experience using and managing spatial relational databases including Oracle, MSSQL, or PostGreSQL/PostGIS. • Extensive experience with geographically-derived assessments, enterprise data integration, spatial data governance, metadata management and interpretation of business and performance metrics. • Expert ability to present geospatial information via multimedia presentations and written reports. • Demonstrated experience using geospatial Python, R, SAS, Java or other More ❯

Live event production on the AWS cloud Channel playout origination Master Control rooms Advertising signaling and insertion Distribution and monitoring Broadcast Headend Post production Media Archives and Asset Management Metadata Management Content QC, Localization and Preparation workflows Data Lakes & Data Science Content Monetization strategies Customer 360 and CDP Personalization A day in the life Diverse Experiences AWS values diverse experiences. More ❯

mission-focused tools. Familiarity with DevSecOps , Agile development, or tool acquisition lifecycles. Demonstrated success leading analytic innovation efforts, pilot programs, or cross-functional working groups. Understanding of data governance, metadata standards, and operational integration of technical capabilities. Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting More ❯

Ensure data accuracy and consistency by implementing data validation rules and maintaining data quality standards. • Optimize data models for performance, ensuring efficient data retrieval and processing. • Document data models, metadata, and data flows, providing a clear understanding of the data landscape. • Implement and maintain data models, ensuring they align with evolving business needs and technical requirements. Required qualifications to be More ❯

Ensure data accuracy and consistency by implementing data validation rules and maintaining data quality standards. -Optimize data models for performance, ensuring efficient data retrieval and processing. -Document data models, metadata, and data flows, providing a clear understanding of the data landscape. -Implement and maintain data models, ensuring they align with evolving business needs and technical requirements. Skills & Qualifications: -Bachelor's More ❯

of NGA architectures at enterprise, system and program levels Proficiency in Python, PyTorch/TensorFlow, and ML lifecycle tools (MLflow, Kubeflow, Airflow) Experience building data/model ingestion pipelines, metadata registries, and automated scoring/benchmarking frameworks Familiarity with containerized deployment (Docker/Kubernetes), REST APIs, and distributed architectures (e.g., AWS EventBridge). Working knowledge of model governance, explainable AI More ❯

development of enterprise data architectures and strategic solution recommendations. Create high-level conceptual and logical data models to support cross-system and cross-functional data requirements. Establish and manage metadata governance processes to ensure accuracy, validity, and quality. Provide leadership and guidance to system and local work groups. Design and build relational and non-relational databases. Translate business requirements into … long-term architecture solutions. Review object/data models and metadata repositories to optimize data management and access. Debug applications across various platforms and languages. Collaborate across teams and departments to ensure cohesive data strategies. Communicate effectively with stakeholders and executives. Deliver presentations and demonstrations to leadership and decision-makers. The Team Deloitte's Government and Public Services (GPS) practice More ❯

Monitor and tune Databricks clusters and workloads to ensure performance, reliability, and cost optimization, utilizing automated scaling and resource management techniques. Implement best practices for data governance, data cataloging, metadata management, and data lineage within Databricks, adhering to regulatory and compliance requirements. Collaborate with infrastructure teams to ensure data lake infrastructure meets scalability and availability requirements, leveraging Databricks cluster management … processes using Databricks. Experience with big data technologies such as Apache Spark, Apache Hive, Delta Lake, and Hadoop. Solid understanding of data governance principles, data modeling, data cataloging, and metadata management. Hands-on experience with cloud platforms like AWS or Azure, including relevant services like S3, EMR, Glue, Data Factory, etc. Proficiency in SQL and one or more programming languages More ❯

data masking, to protect sensitive information. Data Quality Management: Implement processes and tools for monitoring, measuring, and improving data quality to ensure accuracy, completeness, and consistency of data assets. Metadata Management: Develop and maintain metadata repositories to catalog and document data assets, including definitions, lineage, and usage. Technical Leadership: Provide technical guidance and leadership to cross-functional teams, including data More ❯

scalability, and compliance with standards and regulations. Identify and mitigate project risks and delivery issues . Support engineering and application teams with API design and implementation queries . Drive metadata submissions and documentation for API discovery tools (e.g., Exchange). Participate in API Product Design Working Groups to ensure consistent design decisions. Contribute to QA test case generation and lifecycle More ❯

scalability, and compliance with standards and regulations. Identify and mitigate project risks and delivery issues . Support engineering and application teams with API design and implementation queries . Drive metadata submissions and documentation for API discovery tools (e.g., Exchange). Participate in API Product Design Working Groups to ensure consistent design decisions. Contribute to QA test case generation and lifecycle More ❯

scalability, and compliance with standards and regulations. Identify and mitigate project risks and delivery issues . Support engineering and application teams with API design and implementation queries . Drive metadata submissions and documentation for API discovery tools (e.g., Exchange). Participate in API Product Design Working Groups to ensure consistent design decisions. Contribute to QA test case generation and lifecycle More ❯

scalability, and compliance with standards and regulations. Identify and mitigate project risks and delivery issues . Support engineering and application teams with API design and implementation queries . Drive metadata submissions and documentation for API discovery tools (e.g., Exchange). Participate in API Product Design Working Groups to ensure consistent design decisions. Contribute to QA test case generation and lifecycle More ❯

functional specifications for enterprise collaboration platforms. Lead SharePoint design, configuration, and governance planning to ensure compliance with organizational and DoD-level security standards. Define and document workflows, permissions, and metadata structures to support content management and automation. Collaborate with technical, cybersecurity, and mission teams to guide system design, testing, and deployment. Identify process improvement opportunities and implement solutions using Power More ❯

individual will gather, organize, maintain, and provide access to the mission compliance rules contained in external authorities, Agency policy, and other documentation. The individual will be responsible for entering metadata and authority tags associated with multiple authority types into the authority repository, as well as creating new authority tags when required. Individual will support user acceptance training on the authority More ❯

reporting processes across the business. Key Responsibilities Support and manage the implementation of the Oracle FCCS module, collaborating with Oracle and internal finance teams. Perform ongoing system administration, including metadata updates, data loads, reconciliations, and environment synchronisation. Document system configurations, application designs, and process improvements. Troubleshoot and resolve application issues, coordinating with Oracle and internal IT as needed. Provide end More ❯

RESPONSIBILITES: Develop and maintain document repositories, portals, and collaborative platforms Structure/categorize data for intuitive access and retrieval across clearance levels Implement and enforce data governance policies and metadata standards Facilitate information sharing across directorates, ensuring alignment with DoD frameworks Support content document lifecycle management, including archiving and retrieval Conduct training and outreach to promote best practices across teams More ❯

individual will gather, organize, maintain, and provide access to the mission compliance rules contained in external authorities, Agency policy, and other documentation. The individual will be responsible for entering metadata and authority tags associated with multiple authority types into the authority repository, as well as creating new authority tags when required. Individual will support user acceptance training on the authority More ❯

one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in More ❯

one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in More ❯

one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in More ❯

one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in More ❯

one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in More ❯

with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs) Incorporate SME input into feature vectors suitable for analytic development and testing Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes More ❯