26 to 50 of 492 Permanent Metadata Jobs

more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies, and metadata management Strong problem-solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that More ❯

be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer More ❯

unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML More ❯

analysis to uncover insights from complex datasets Data profiling and quality assessment methodologies Expertise in creating and maintaining data artifacts: Data dictionaries and comprehensive metadata documentation Entity-relationship diagrams and logical/physical data models Technical specifications for ETL processes and transformations Proven track record of implementing data models and More ❯

policies and procedures and comply with DoD and federal government regulations. Guide teams in implementing best practices for data governance, data quality management, and metadata management. Qualifications Master's degree in an Information Technology discipline or a related field. 10+ years of experience in engineering and deploying cloud based information More ❯

limited to: Data Strategy/Modeling/Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance. Required Qualifications: • Active TS/SCI Clearance with Polygraph • 5+ years experience as a Data Scientist, Data Analyst, or More ❯

and real estate data-including metrics, KPIs, and market trends. Background in data modeling and data management best practices (e.g., dimensional modeling, data governance, metadata management). Ability to provide insights on complex financial data sets and collaborate with relevant stakeholders. WHAT WE OFFER: We are committed to supporting your More ❯

defect resolution, coding, design, customization and documentation of micro services, creating/developing new cloud service patterns, scripting, data management/enrichment, consolidation of metadata, user-interface development, container (e.g. K8s) integration & design, encrypting data at rest & in transit • Technically integrate/tailor/engineer/design and maintain cybersecurity More ❯

Responsibilities will include: Data Create and maintain robust and scalable data pipelines to ingest, process, and transform data from various sources, ensuring data and metadata quality, accuracy, and consistency. This will include working with large and complex datasets, such as census and international data. Responsibility for implementation of data governance More ❯

Extensive experience designing and implementing data analysis and management programs in large financial institutions. Strong understanding of data quality metrics, master data management, and metadata management. Regulatory & Risk Management: Experience in Operational risk domains including but not limited to - Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk More ❯

limited to: Data Strategy/Modeling/Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance Required Qualifications: • Active TS/SCI Clearance with Counterintelligence (Cl) Polygraph • 5+ years experience as a Data Scientist, Data More ❯

business goals and deliver measurable value. What We're Looking For: Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and More ❯

Provide advice on JDE capabilities and best practices. User Access Management: Audit user data, oversee new user creation, and manage security and licensing impacts. Metadata Code Management: Maintain codes and lookups, offering best practice advice to users. Ticket Management: Manage Fresh service requests for Master Data, collaborating with the Service More ❯

/ELT processes. Proven experience integrating new data sets into an established data platform and optimizing data storage and processing. In-depth knowledge of metadata management , self-serve data models , and data governance principles. Strong understanding of risk management frameworks , data controls, and ensuring compliance with industry regulations. Familiarity with More ❯

full life-cycle software development projects Demonstrated knowledge in enterprise data strategy, data governance practices, data stewardship principles, data architecture principles, data standards, and metadata management best practices Desired: Ability to convey technical information to non-technical individuals Ability to work in a dynamic and challenging environment Strong oral and More ❯

modeling, database design, and information systems implementation Demonstrated knowledge and expertise in enterprise data strategy, data governance practices, data stewardship principles, data standards, and metadata management best practices Ability to translate requirements into end-to-end designs for systems that involve multiple interfaces and support data repositories Strong customer service More ❯

Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities More ❯

delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging More ❯

with Site Reliability Engineering/DevOps practices. Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, “big data” techniques, public/hybrid/private cloud data management and analytics services data security More ❯

Business Insights Delivery, you will: Create proof of concepts and prototypes as part of the requirement gathering and specification process. Perform intermediate data profiling, metadata documentation, data lineage, data transformation rules in support of offshore development. Be responsible for the development, automating, compiling, and preparing reports, dashboards, cubes, etc. Work More ❯

proactive and effective collaboration with a virtual team. Working knowledge of DISA STIGs, RMF, and other DoD compliance frameworks. Strong background in data governance, metadata management, and data quality frameworks. Develop DoD requirements, traceability, and detailed plans/schedules. Lead development of software systems engineering documents and interface documents (IDDs More ❯

data models, ensuring scalability and performance Define mappings between various layers of data abstraction Facilitate data model approval through internal governance processes Assist with metadata management and register data products within a data catalog (e.g., Collibra) Apply best practices in enterprise data modelling, including use of star schemas and de More ❯

Ensure data models align with organizational data architecture and governance standards. Optimize database structures for performance, scalability, and reliability. Document data models, relationships, and metadata for reference and maintenance. Work with development teams to implement data models in database systems. Conduct data analysis to ensure data quality and integrity. Support More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯