1 to 25 of 632 Permanent Metadata Jobs

access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/PCI-DSS/SOX).Proficiency ...

cloud-native data services. Design and implement modern Lakehouse, Data Warehouse, Data Lake, Data Mesh, and Data Fabric architectures. Define enterprise data governance, metadata management, data lineage, security, and access-control frameworks. Establish standards for data quality, observability, monitoring, compliance, and operational reliability. Develop strategies for managing structured, semi-structured ...

operational stakeholders to turn ambiguous business issues into clear data analysis, engineering actions and controlled tactical fixes. Understanding of data ownership, stewardship, lineage, metadata, controls and data quality monitoring, with the ability to produce documentation that can be reused as part of an enduring data governance model. Experience implementing ...

Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products.* Own security architecture for data ...

accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management activities related to data ...

environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable data products. ...

virtualisation and distributed data architectures. Ensure data platforms are designed with scalability, reliability, performance, security and maintainability in mind. Embed data governance, data quality, metadata management and security principles into solution designs. Work with both structured and unstructured data across a range of technologies and platforms. Collaborate with engineering, analytics ...

Enterprise Data Architecture and Data Strategy.* Expertise in Data Modelling including Conceptual, Logical, and Physical Data Models.* Strong knowledge of Data Governance, Data Quality, Metadata Management, and Data Lineage.* Experience designing and implementing Data Warehouses, Data Lakes, and Modern Data Platforms.* Strong understanding of ETL/ELT Architecture and Data ...

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management, and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture philosophies (Dimensional, ODS, Data Vault) and real ...

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture methodologies (Dimensional, ODS, Data Vault) and real ...

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture methodologies (Dimensional, ODS, Data Vault) and real ...

technical audiences. Experience designing and delivering modern data platforms, pipelines, and integration architectures . A solid understanding of data governance, operating models, metadata, lineage, and data quality frameworks . The ability to operate across the full data lifecycle , from strategy and architecture through to delivery, adoption, and optimisation. ...

physical data models supporting current and future enterprise applications. Define standards, principles, and best practices for enterprise data management. Create and maintain data dictionaries, metadata repositories, and documentation. Establish scalable architectures supporting ERP, PLM including Manufacturing Systems, and reporting platforms. Collaborate with business and technical stakeholders to ensure data structures ...

model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management Profiling, cleansing, validating and remediating data. Defining data quality rules, dictionaries, metadata and lineage. Supporting data ownership and stewardship models. Contributing to data migration, regulatory reporting or remediation projects. Automation and AI‐enabled Workflow Identifying opportunities ...

model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management Profiling, cleansing, validating and remediating data. Defining data quality rules, dictionaries, metadata and lineage. Supporting data ownership and stewardship models. Contributing to data migration, regulatory reporting or remediation projects. Automation and AI‐enabled Workflow Identifying opportunities ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

/event telemetry. Ensure data flows are resilient, observable, and architected for reliability and cost efficiency. Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards, implemented through Unity Catalog. Ensure that data architecture adheres to Quantios’ security, privacy, and regulatory requirements. Define ...

methodologies, including Git. Proven experience working with Databricks, including data ingestion, transformation and optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including data lineage ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native ...

Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra. Data ...

align solutions with strategic technology standards.Evaluate new technologies and recommend improvements to existing platforms.Data Management and GovernanceSupport implementation of data governance, quality, lineage and metadata management practices.Ensure data assets meet applicable regulatory, audit and control requirements.Drive improvements in data quality and trusted data consumption.Leadership and CollaborationProvide technical leadership across delivery ...

technical direction Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions Define data models, data flows, metadata standards, and integration patterns Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale Ensure data security, privacy, compliance, and risk ...

business functions including Policy Administration, Claims, Underwriting, Pricing, Reinsurance, Customer, and Finance.* Develop and maintain conceptual, logical, and physical data models.* Establish data governance, metadata management, data quality, master data management (MDM), and regulatory compliance frameworks.* Collaborate with business stakeholders, solution architects, product owners, and engineering teams to translate requirements ...