176 to 200 of 714 Metadata Jobs

from unauthorized access. Collaboration with Stakeholders: Work closely with data owners, IT teams, and business units to align data governance initiatives with organizational goals and requirements. Data Classification and Metadata Management: Establish and maintain data classification schemes and metadata repositories to enhance data accessibility and understanding. Training and Awareness: Educate employees on data governance policies and best practices. Promote a More ❯

data scientists and mission stakeholders to analyze source data formats and design appropriate transformations that meet analytical goals. Ensure end-to-end data quality, lineage, and security while maintaining metadata to track data provenance and access controls. Clean and preprocess data to prepare it for use in advanced analytics, machine learning models, and decision support systems. Work with enterprise data … Apache NiFi, Spark, and related open-source technologies. Demonstrated ability to collaborate across teams, including data scientists, software engineers, data stewards, and mission partners. Knowledge of data governance principles, metadata management, and data quality best practices. Experience with implementing data privacy and access controls to ensure secure data usage. Position Clearance Requirement: TS/SCI with an FSP We win More ❯

and control flows. Create detailed documentation outlining package functionalities, dependencies, and schedules. Document the current state of SQL Server databases, including schema, tables, views, stored procedures, and functions. Capture metadata and data lineage for critical datasets and data flows within the databases. Review and document existing SSRS reports, detailing data sources, datasets, report layouts, and expressions. Maintain an inventory of More ❯

modelling tools and techniques. Experience working with Microsoft Azure and Databricks Solid understanding of database management systems and effective database solution design. Knowledge of data governance, data quality, and metadata management. Ability to translate business requirements into clear data models. Excellent communication and collaboration skills. Logical and analytical problem-solving approach. Apply now to take the next step in your More ❯

Division's Knowledge Systems Strategy that enhances the accessibility and usability of large-scale structured and unstructured data assets for implementation on unclassified and classified information systems. Implement taxonomy, metadata, and data catalog standards to improve discoverability and data trust. Facilitate and promote a culture of knowledge sharing and collaboration across various teams and departments. Lead knowledge system and management … Track record of developing and leading strategies for organizations with big data needs. The ability to travel up to 10%. Additional desired experience and skills: Deep understanding of metadata management, data classification, data cataloging, and taxonomies. Hands-on knowledge of cloud data environments (e.g., AWS, Azure, GCP) Knowledge of data architecture, data lakes, and data warehousing as they relate More ❯

in data modelling tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadata management, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯

in data modelling tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadata management, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯

in developing and managing complex data models. Strong knowledge of data modelling tools, techniques, and database management systems. Experience designing and implementing robust database solutions. Familiarity with data governance, metadata management, and data quality frameworks. Ability to translate business requirements into effective data models. Excellent communication and stakeholder engagement skills. Strong analytical mindset with a structured, problem-solving approach. Hands More ❯

in data modelling tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadata management, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯

clarifying requirements and tracking progress. Assist in reviewing data models and integration designs for adherence to established data architecture standards. Support the development and maintenance of data dictionaries and metadata repositories, including researching definitions, validating data elements, and documenting business rules. Participate in data governance initiatives, tracking action items and supporting the implementation of data quality, security, and compliance policies. More ❯

prem systems. Lead the development of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right time. Design secure data flows More ❯

as AWS Certified Developer, Oracle Cloud Infrastructure. Familiarity with records management policies and procedure. Familiarity with big data technologies like Hadoop, Spark, and Kafka. Knowledge of data governance and metadata management. Clearance Requirements: Must possess a current and active TS/SCI with polygraph Physical Requirements: Must be able to be in a stationary position more than 50% of the More ❯

EA. Designed detailed solutions aligned with project standards and customer requirements, ensuring architectural consistency. Led data architecture and management activities across the full data lifecycle, including governance aspects like metadata, lineage, and data quality. Provided technical guidance to team members for enhancements and production support, ensuring high-quality deliverables. Engaged in hands-on development using tools such as SAP Data More ❯

as AWS Certified Developer, Oracle Cloud Infrastructure Familiarity with records management policies and procedure Familiarity with big data technologies like Hadoop, Spark, and Kafka Knowledge of data governance and metadata management Clearance Requirements: Must possess a current and active TS/SCI with polygraph Physical Requirements: Must be able to be in a stationary position more than 50% of the More ❯

DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable and efficient data models, metadata systems, and data catalogues aligned with business objectives. Optimise performance and resolve issues to ensure data accessibility and responsiveness. Provide guidance and oversight to project teams on data architecture and More ❯

understanding of NGA data creation, tagging, and production methodologies. Ability to manage multiple priorities in a fast-paced, deadline-driven environment. Experience with process quality control, problem solving, and metadata tagging. Knowledge of IC tradecraft standards including ODNI ICD 203, 206, and 501. Strong critical thinking and adaptability in complex, data-rich environments. Security Clearance Requirements: TS/SCI with More ❯

DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable and efficient data models, metadata systems, and data catalogues aligned with business objectives. Optimise performance and resolve issues to ensure data accessibility and responsiveness. Provide guidance and oversight to project teams on data architecture and More ❯

migrations, ensuring data integrity, security, and quality during platform transitions. Deep knowledge of data quality techniques, including data profiling, validation rules, and data remediation processes. Familiarity with data classification, metadata management, and data access governance to secure sensitive data. Understanding of industry compliance standards (e.g., GDPR, CCPA, SOX) and how they relate to data governance and data quality. My client 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 ❯

to prevent high impactful incidents. Achieve and maintain the continuity of Hartford and third-party assets that support a business function. Accountable for keeping the IT application and infrastructure metadata repositories current. AI-Driven Automation: Research and implement AI-based anomaly detection to predict infrastructure failures and automate preventive measures. Develop AI-powered troubleshooting copilots and LLM-driven operational assistants More ❯

to prevent high impactful incidents. Achieve and maintain the continuity of Hartford and third-party assets that support a business function. Accountable for keeping the IT application and infrastructure metadata repositories current. AI-Driven Automation: Research and implement AI-based anomaly detection to predict infrastructure failures and automate preventive measures. Develop AI-powered troubleshooting copilots and LLM-driven operational assistants More ❯

to prevent high impactful incidents. Achieve and maintain the continuity of Hartford and third-party assets that support a business function. Accountable for keeping the IT application and infrastructure metadata repositories current. AI-Driven Automation: Research and implement AI-based anomaly detection to predict infrastructure failures and automate preventive measures. Develop AI-powered troubleshooting copilots and LLM-driven operational assistants More ❯

to prevent high impactful incidents. Achieve and maintain the continuity of Hartford and third-party assets that support a business function. Accountable for keeping the IT application and infrastructure metadata repositories current. AI-Driven Automation: Research and implement AI-based anomaly detection to predict infrastructure failures and automate preventive measures. Develop AI-powered troubleshooting copilots and LLM-driven operational assistants More ❯

/Scrum process. • Position is office based in Irvine, CA- 4 days/week & 1 day/week-remote In this role, you will be responsible for: • Media and metadata content ingestion systems - managing how XUMO ingests compelling video content from our partners. • Integration with proprietary video encoding services - optimizing video encoding and streaming delivery through our client applications. • High More ❯

Los Angeles, CA (On-site) About Westlake Financial Services Westlake Financial Services is a technology-driven, privately held finance company that specializes in auto loans. Headquartered in Los Angeles, Westlake operates in all 50 states and is one of the More ❯