1 to 25 of 170 Metadata Jobs

logical and/or physical data models and repositories, as well as data ontologies. • Work closely with the clients and other architects to define metadata layers, technical Data strategies and optimal integration of innovative technologies within existing enterprise architecture landscape • Evaluate and select the tools and components necessary for optimal more »

and technical governance, expertise related to cloud architectures, deployment, and operations Set yourself apart: Experience delivering projects within an agile environment Experience in MDM, Metadata Management, Data Quality and Data Lineage tools E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management Regulatory and Compliance work in Data 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 »

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 »

with unstructured datasets. Collaborating with product owners to identify requirements, define desired outcomes and deliver trusted results. Building processes supporting data transformation, data structures, metadata, dependency and workload management. In this role, SQL is heavily focused. An ideal candidate must have hands-on experience with SQL database design. Plus, Python more »

storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture 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 »

and alignment with business needs for data timeliness.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.What they are looking for...Proven experience in analytics engineering and using Python and DBT to develop analytics more »

alignment with business needs for data timeliness. 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. What they are looking for... Proven experience in analytics engineering and using Python and DBT to more »

requirements and contribute to effective data-driven solutions. You will participate in the implementation of data governance policies, including data quality, data lineage, and metadata management, contributing to the integrity and compliance of our data assets. You will support the scalability, security, and availability of the Data Platform in collaboration 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 »

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 »

and mentoring for team members through formal and informal methods. SERVICE ESSENTIAL FUNCTIONS Facilitates gathering and documenting requirements, business rules, source to target mapping, metadata capture and decomposes high-level business and user requirements into complete, concise and consistent functional requirements suitable for use by the developer. Leads the design more »

eg: maintenance, quality monitoring, retention, etc) and ensuring compliance with external data governance legislation (eg: GDPR) is designed. A consolidated set of collateral of metadata maintained as part of change processes (eg: Delivery framework Data Platform, and Integration Wikis). Support data quality improvement initiatives by developing data quality assessment more »

Developing and maintaining objects within Data Warehouses/Lakehouses. Experience of working with business data domains/data as a product (Data Mesh). Metadata management/Data quality Microsoft Office 365 Experience performing root cause analysis on internal and external data and processes to answer specific business questions and 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 »

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 »

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 »

test corporate data warehouse.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.Required Skills, Knowledge, and Experience 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 »