1 to 25 of 121 Metadata Jobs

strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake more »

strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake more »

Lead the implementation and digitalization agenda in a cross-functional team of architects from business and technology Create the design pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise more »

Strong Data Analysis skills; * Data Platform Modernisation; * Data Migration; * Data Security (at-rest/in-transit); * Architecting Data Pipelines; * Data Modelling and Database Design; * Metadata Management; * Stakeholder Management & Data Governance; * Excellent communication skills; * Willingness to learn and expand your Data and architectural skills. * Pre-sales content contribution and pricing for more »

in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture and modern Datawarehouse/Data-Lake/Lakehouse techniques Build transformation tables using SQL. Moderate level knowledge more »

big data' pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security. Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management, as well as the ability to manipulate, process, and extract value from large, disconnected structured and unstructured datasets. Advanced SQL/ more »

frameworks, standards and principles, eg DAMA-DMBOK, DSA, and relational/non-relational Datamodelling across conceptual, logical and physical domains. Data management: data quality, metadata management, reference and master data management, data integration & interoperability, and data storage. Data governance: business glossary, data standards, data catalogs, data dictionaries, and data lineage. more »

and optimising data management processes. Experience required At least 3 Years Data Architect experience/similar Strong understanding of data warehousing, data modelling and metadata management Experience with ETL pipelines, database design principles, data visualisation tools e.g., Power BI Cloud-based technologies (AWS/GCP/Azure/Cosmos) Knowledge more »

have 12+ Experience in Architecting Data & Analytics Platforms like Cloud/Big Data/EDW's Must have 5+ years in Data Governance Solutions (Metadata Management, Data Quality, Data Lineage, Data Catalogue) Must have 5+ solution experience in Reporting/Visulization Platform Modernization (Canned, Self Service and Real Time Reporting more »

Optimize the Azure Data Analytics platform, allowing ingestion of data from a variety of data sources to support Power BI reporting Build, optimise and metadata management of data models Run and maintain a cost-effective Azure Cloud reporting infrastructure Work closely with security, data protection and compliance teams to ensure more »

data model's integrity, accuracy, and compliance. You will support the development and adherence to data governance policies, focusing on data quality, lineage, and metadata management to uphold the data assets' integrity and reliability. Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. Conduct exploratory more »

engineering best practices, including data quality, resilience, and observability Exposure to Agile project management and ETL/ELT approaches Knowledge of data governance and metadata management Hands-on experience with cloud orchestration tools and IaC Preferred Skills: Experience with data visualization tools like Power BI or Tableau Knowledge of streaming more »

solutions. Monitor and evaluate solution performance and suitability. Ensure the planned architecture of the Data Warehouse environment is delivered. Maintain data models, schemas, and metadata repositories. Monitor and maintain operational data warehouse builds, resolving issues promptly. Identify and escalate potential quality issues or performance risks during monitoring. Assure that developed more »

document the processes clearly. Experience with data architecture and design patterns. Experience managing a data model repository. Experience with coordinating data modelling activities with metadata management. Knowledge of data profiling tools and techniques. Experience with data management and governance principles. Must be able to provide design options, alternatives and recommendations more »

frameworks, standards and principles, eg DAMA-DMBOK, DSA, and relational/non-relational Datamodelling across conceptual, logical and physical domains. Data management: data quality, metadata management, reference and master data management, data integration & interoperability, and data storage. Data governance: business glossary, data standards, data catalogs, data dictionaries, and data lineage. more »

solution architecture, service-oriented architecture (SOA), data architecture, performance scaling, cloud computing, data governance, data quality management, application integration, business intelligence, data warehousing and metadata management from ideation to deployment. • Experience with major cloud platform-AWS. • Experience in Informatica IDMC (CDI and CAI). • Ebsuring Engineering practices are followed • Excellent more »

Enterprise Data Architect, particularly within large, complex organizations. Expertise in data integration, data management, and data consumption techniques. Strong background in data quality management, metadata management, and master data management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning more »

test, and document ETL and ELT solutions. accurate documentation, including lineage, for all solutions. and assess solution performance and suitability. data models, schemas, and metadata repositories. operational data warehouse issues promptly. compliance with standards and controls. user functionality and productivity with new solutions. processes to standardise their data warehouse environment. more »

ETL and ELT solutions. Ensure accurate documentation, including lineage, for all solutions. Monitor and assess solution performance and suitability. Maintain data models, schemas, and metadata repositories. Address operational data warehouse issues promptly. Ensure compliance with standards and controls. Enhance user functionality and productivity with new solutions. Improve processes to standardise more »

solutions. Monitor and evaluate solution performance and suitability. Ensure the planned architecture of the Data Warehouse environment is delivered. Maintain data models, schemas, and metadata repositories. Monitor and maintain operational data warehouse builds, resolving issues promptly. Identify and escalate potential quality issues or performance risks during monitoring. Assure that developed more »

geo-enabled applications and graph database structures, using knowledge of various data formats including XML, JSON, flat file, Parquet etc. You can also manage metadata across your development teams systems and beyond, with a practitioner knowledge of tracking data provenance and data lineage. You’ll work to agreed and recognised more »

stakeholders Requirements and skills At least 8 years of work experience, with 2 years in a similar role Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administration Strong computer science background and knowledge of software development methodologies Excellent knowledge of SQL Programming experience in a more »

standards. Excellent analytical, problem-solving, and communication skills. Certification in Azure or related technologies (e.g., Microsoft Certified: Azure Data Engineer Associate). Experience with metadata management and data cataloging. Familiarity with data privacy and protection regulations more »

opportunities for process improvements and provide recommendations to enhance data governance initiatives. Stay updated with industry trends and best practices in data governance and metadata management. Analyse information security risks and address issues of non-compliance. Required Skills & Qualifications: 2+ years' experience with Microsoft Purview or previous iterations live Azure more »

external release of information requests, and intra[1]company data related transfers. * Actively review data architectures and content to find innovative ways to enhance metadata consistency & connectivity, port transactional workflows to MSP functions, and reduce cost where possible. * Collaborate globally with other regional TDC centers to ensure process consistency, improvement more »