9 of 9 Permanent Metadata Repository Jobs

Data Governance Lead (Snowflake Data Analyst, Metadata Management & Data Lineage) - W2 only Location: Dallas, TX/Los Angeles, CA We are looking for an experienced Data Analyst with deep expertise inSnowflake and a strong background in Data Governance, Metadata Management, and Data Lineage. The ideal candidate will play a key role in ensuring enterprise data is accurate, traceable … stored procedures, and data pipelines for analytical and governance use cases. Work closely with data engineering and analytics teams to ensure Snowflake data is well-structured, consistent, and secure. Metadata & Data Lineage Management Implement and manage enterprise metadata and lineage frameworks to ensure transparency, traceability, and accountability across datasets. Leverage tools like Collibra, Atlan, Congruity360, and Alation to … manage metadata repositories, data cataloging, and lineage visualization. Collaborate with technical teams to integrate Snowflake metadata into governance tools and automate lineage tracking. Data Quality & Stewardship Define, monitor, and report on key data quality metrics and KPIs across critical data domains. Partner with business stewards to identify, resolve, and prevent recurring data issues. Issue Management & Remediation Support data More ❯

of data modelling. You can produce, maintain and update relevant data models for specific business needs. You can reverse-engineer data models from a live system. (Skill level: working) Metadata management. You can work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You can maintain a repository to ensure information More ❯

of data modelling. You can produce, maintain and update relevant data models for specific business needs. You can reverse-engineer data models from a live system. (Skill level: working) Metadata management. You can work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You can maintain a repository to ensure information More ❯

strategy sessions Technical & Operational Excellence Perform advanced data profiling and analysis of third-party data sources to validate quality, coverage, and fitness for business use cases Capture and document metadata, data lineage, transformation rules, and business definitions for all external data sources in enterprise metadata repositories and data catalogs Develop and maintain technical specifications, integration requirements, and data … premise), and emerging data technologies Prior hands-on experience with SQL, Python, Teradata, Hive, and data analysis tools Strong data profiling and data quality assessment capabilities Ability to understand metadata management, data lineage, and data cataloging concepts and tools Governance & Risk Management Solid understanding of data governance frameworks, policies, and best practices Knowledge of data privacy regulations (GDPR, etc. More ❯

strategy sessions Technical & Operational Excellence Perform advanced data profiling and analysis of third-party data sources to validate quality, coverage, and fitness for business use cases Capture and document metadata, data lineage, transformation rules, and business definitions for all external data sources in enterprise metadata repositories and data catalogs Develop and maintain technical specifications, integration requirements, and data … premise), and emerging data technologies Prior hands-on experience with SQL, Python, Teradata, Hive, and data analysis tools Strong data profiling and data quality assessment capabilities Ability to understand metadata management, data lineage, and data cataloging concepts and tools Governance & Risk Management Solid understanding of data governance frameworks, policies, and best practices Knowledge of data privacy regulations (GDPR, etc. More ❯

align with overall architecture frameworks, standards, and governance requirements. Analyze business and system requirements to define data entities, relationships, and flows across cloud and legacy environments. Develop and maintain metadata repositories, data dictionaries, and data lineage documentation to ensure consistency and traceability. Support data mapping and transformation efforts for integration, migration, and reporting. Validate that data structures support performance … and understanding of data integration, normalization, and modeling best practices. Experience working with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner, or equivalent). Understanding of data governance, metadata management, and data quality frameworks. Ability to interpret business requirements and translate them into data design specifications. Excellent communication and documentation skills for presenting data models and concepts to More ❯

Responsibilities: Develop data warehousing blueprints, evaluate hardware/software platforms, and integrate systems. Assess reusability of current data for analysis. Design data warehouses, including data design, database architecture, and metadata management. Build relational databases, perform data access analysis, and design archive/recovery processes. Review and develop object/data models and metadata repositories for better data management. More ❯

manage data architecture across SAP S/4HANA, Workday, and cloud environments.• Develop conceptual, logical, and physical data models aligned with business and regulatory requirements.• Establish data governance frameworks, metadata standards, and MDM processes.• Embed governance checkpoints within PMO methodologies and quality gates.• Lead data lifecycle management initiatives ensuring accuracy and traceability.Architect secure and scalable data integration solutions:• Design … reporting: • Design hybrid data platforms integrating structured and unstructured sources.• Define reference architectures for data lakes, warehouses, and ESG reporting.• Enable self-service analytics through governed data catalogues and metadata repositories.• Align architecture with business analytics, sustainability metrics, and regulatory reporting. Lead cross-functional collaboration and vendor management: • Lead teams of data engineers, modellers, and security analysts.• Liaise between More ❯

our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. As a Data Management … and dashboards to monitor and report on data health Lead end-to-end delivery of data quality initiatives, from requirements gathering to deployment and support Integrate DQ solutions with metadata repositories and data governance platforms Provide technical guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI) to enhance data quality More ❯