1 to 25 of 120 Remote Metadata Jobs

managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best practices for More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

engagement capabilities. Nice to Have Familiarity with data visualization tools (e.g., Power BI, Tableau). Exposure to cloud platforms (e.g., Databricks , Snowflake ). Understanding of data governance , lineage , and metadata management . Experience with data cataloguing and quality frameworks . More ❯

of BCBS239, risk and finance data structures, and data governance best practices Proven experience influencing and engaging senior stakeholders across complex organisations Strong working knowledge of data quality, profiling, metadata management, and governance tools (Collibra preferred) Analytical mindset with the ability to challenge constructively and solve problems creatively Experience working in Tier 1/Tier 2 banking, with a solid More ❯

and databases, ideally involving the development of new and existing data sources in a Data Warehouse environment. Experience in developing and maintaining Master and Reference Data. developing and maintaining metadata for data dictionaries and data catalogue(s). data architecture and creating data models and documentation. data monitoring, testing, and implementing quality improvements. SQL and technical database experience. Working knowledge More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and Finance, to help with their More ❯

Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and Finance, to help with their More ❯

Looking For Required: 5+ years in a Pre-sales or Solutions Engineering role, ideally in a data-driven software environment Deep understanding of Data Management disciplines, especially Data Governance, Metadata Management, and Data Lineage Exceptional communication skills - able to connect with technical and non-technical audiences, adapt quickly, and tell compelling stories Track record of running successful demos, Evaluations , and More ❯

of Configuration and Data Management for product delivery in accordance with DEF STAN 05-57, or EIA649C Professional certifications (e.g., CDMP, PMP, PRINCE2, TOGAF). Experience with data modelling, metadata management, and master data management (MDM) tools. Knowledge of cybersecurity and information assurance practices such as Secure by Design, NIST-800, ISO27001. Excellent stakeholder engagement and communication skills; able to More ❯

client. You'll manage the 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 insights to shape innovative solutions More ❯

to leverage data, knowledge, and 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 decision-makers, increasing productivity and More ❯

continuous improvement in data quality, and ensuring compliance with internal and external regulatory obligations. Key Requirements Strong experience in data governance, regulatory reporting, and data quality management. Proficiency in metadata management and regulatory data documentation. Demonstrated ability to design data controls, perform data profiling, and support remediation planning. Experience building data visualisations and dashboards with Tableau Proficiency in Alteryx, SQL More ❯

continuous improvement in data quality, and ensuring compliance with internal and external regulatory obligations. Key Requirements Strong experience in data governance, regulatory reporting, and data quality management. Proficiency in metadata management and regulatory data documentation. Demonstrated ability to design data controls, perform data profiling, and support remediation planning. Experience building data visualisations and dashboards with Tableau Proficiency in Alteryx, SQL More ❯

data architecture standards and best practices Collaborate with cross-functional teams to align data models with business needs Lead data integration, transformation, and migration strategies Maintain enterprise data models, metadata repositories, and data lineage documentation Optimise data products for performance, scalability, and reliability Skills & Experience: 10+ years in data architecture and modelling Expertise in dimensional modelling, 3NF, and Data Vault More ❯

play a key role in transforming business requirements into scalable and insightful reporting and dashboard solutions. Role The Oracle BI Consultant will design and develop OBIEE dashboards, reports, and metadata models (RPD). Translate business requirements into technical specifications and BI solutions. Write, optimise, and maintain complex SQL queries for data extraction, transformation, and analysis. Develop and manage data models More ❯

play a key role in transforming business requirements into scalable and insightful reporting and dashboard solutions. Role The Oracle BI Consultant will design and develop OBIEE dashboards, reports, and metadata models (RPD). Translate business requirements into technical specifications and BI solutions. Write, optimise, and maintain complex SQL queries for data extraction, transformation, and analysis. Develop and manage data models More ❯

tables, and scalability best practices It will also help you to have Experience establishing and enforcing data governance standards through technical architecture (not just documentation) Familiarity with data cataloging, metadata management, and observability tools A systems-thinking mindset-you understand the full data lifecycle and how to maintain integrity from source to dashboard At Booksy, we believe in the power More ❯