101 to 125 of 492 Permanent Metadata Jobs

SQL. • Ability to interpret complex data requirements and architect solutions. • Experience with SAP Power Designer or a similar data modeling tool. • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. • Experience with Microsoft Azure Synapse is a plus. • Excellent presentation, communication (oral More ❯

and drive consensus across diverse stakeholders Knowledge of data privacy regulations and compliance frameworks (GDPR, CCPA, etc.). Experience in data profiling, cleansing, and metadata management is a plus. Familiarity with data architectures and data integration platforms More ❯

and drive consensus across diverse stakeholders Knowledge of data privacy regulations and compliance frameworks (GDPR, CCPA, etc.). Experience in data profiling, cleansing, and metadata management is a plus. Familiarity with data architectures and data integration platforms More ❯

Evaluate source data systems for variances, anomalies, and efficiency Create reusable data models and calculated views that scale across the enterprise Optimize logical and metadata models Performance tuning of long running queries/procedures Collaborate with data owners and data scientists to understand relationships in enterprise source data What you More ❯

on data. Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products. Qualifications Required Skills More ❯

work or certification. Practical experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. Hands-on experience in system design, application development, testing, and operational stability. More ❯

update existing data models Collaborate with data architects, data analysts, and business users Support the implementation of data management strategies Create data definitions and metadata Identify opportunities to optimize data usage Qualifications Proven work experience as a Data Modeler or Data Architect Experience in data modeling principles/methods including More ❯

for this role: Experience with large-scale multimedia & multilingual content processing systems. Expertise in distributed peer-to-peer storage with 500+ nodes. Proficiency in metadata indexing, summarization, and analytics. Strong background in system performance, scalability, and security. Skilled in technical documentation and training. Experience leading agile/spiral development models. More ❯

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 More ❯

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and More ❯

standards and metrics. Ensure compliance with federal and department regulations Collaborate on the implementation of data governance tools and technologies to support data lineage, metadata management and data quality monitoring Required qualifications to be successful in this role: Experience in Data Governance, data management or related roles Strong understanding of More ❯

Engage with internal stakeholders to understand business needs and translate them into technical solutions. Work across teams to improve workflows, standardize testing, versioning, and metadata management processes. We're looking for someone who: Has full-stack engineering experience, including data platforms and building RESTful APIs. Can quickly adapt to unfamiliar More ❯

XACTA 360, Service+, Continuity Planning Tool (CPT), and Software Approval Process (SWAP) the build, test, and deployment of all services, applications, software code, and metadata using enterprise, government-managed Continuous Integration/Continuous Deployment (CI/CD) pipeline Providing Tier 1 and Tier 2 support during non-business hours as More ❯

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 … 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 More ❯

foundations by developing and delivering technical solutions related: Data Governance & Management policies as code Automatic Data Observability and Quality metrics implementation, Effective and efficient Metadata Management & Data Catalogue, Data Policies and Procedures automation Data Security processes and controls automation Responsibilities: Reporting into the Head of Data Governance Office, this role …/ETL tools: Airflow; Snowpipe, or similar Data Transformation tools (SQL or python based): dbt or similar. Data management & Governance platforms: Collate/Open Metadata, Collibra, Infosphere, Montecarlo, Informatica or similar Cloud Data Visualization Tools: Tableau (preferred) or similar Git repositories: Bitbucket Cloud or similar Gitlab, Github Documentation: Atlassian Confluence More ❯

Perform comprehensive data analysis, validation, and integrity checks. Data Governance & Documentation Ensure compliance with data governance standards and regulatory requirements. Maintain accurate data dictionaries, metadata , and workflow documentation for transparency and team collaboration. Optimization & Best Practices Optimize dashboard and data pipeline performance through best practices in data visualization and coding … environments . Familiarity with internal audit processes , risk management , or compliance frameworks . Understanding of data lineage , data governance tools , and best practices in metadata management . Why Join Us? Work on impactful projects that support critical audit and risk operations Be part of a collaborative, expert-driven environment Access More ❯

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 More ❯

Evaluate source data systems for variances, anomalies, and efficiency Create reusable data models and calculated views that scale across the enterprise Optimize logical and metadata models Performance tuning of long running queries/procedures Collaborate with data owners and data scientists to understand relationships in enterprise source data Desired Qualifications More ❯

cases with focus on scalability, reusability, and standardization Collaborate with stakeholders to understand data requirements and translate into technical solutions Ensure data governance policies, metadata standards, and lineage tracking are respected Lead documentation efforts covering data models, lineage, and technical decisions Support the setup of monitoring, CI/CD, and More ❯

a strong understanding of document lifecycle management and workflow automation. Key Responsibilities Design and implement custom M-Files solutions to support business requirements. Configure metadata structures, classes, workflows, views, and permissions. Develop scripts using VBScript or other supported languages for automation within M-Files. Integrate M-Files with other business More ❯

ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as More ❯

ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyse and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as More ❯

junior members of own team to build capability. Deliver change programmes, driven by business or IT projects, to support data transformation, data structures and metadata for both structured and unstructured data. Deliver projects and mentor juniors Working on a migration project next year Skills & Qualifications Experience being a modern Data More ❯

governance frameworks and guidance Create and publish Data governance policies and processes Monitor Data Quality and other metrics Provide Data governance impact analysis Support Metadata management Assist the DG manager on governance issues Implement the data quality and management platform What we're looking for Solid understanding of data governance More ❯

role-this opportunity is for you. RESPONSIBILITIES Develop and implement data governance strategies across enterprise systems Lead efforts in data integration, quality assurance, and metadata management Define and enforce policies for data access, lineage, and lifecycle management Collaborate with cybersecurity and cloud teams to ensure secure data sharing and storage More ❯