26 to 50 of 217 Permanent Metadata Jobs

product teams to deliver robust data solutions. Experience working with Terraform for infrastructure-as-code and automated deployment of cloud resources (desirable) Understanding of metadata based ingestion frameworks and data contracts (desirable) Person Specification A passionate data engineer with a history of driving his or her own technical and professional ...

Maintain and improve our data warehouse architecture in Snowflake Collaborate with Data, BI and Architecture colleagues on new data products Contribute to data quality, metadata, versioning and governance standards Ensure compliance with data pri vacy and security best practices Create clear technical documentation for pipelines, models and processes Tech Youll ...

documentation skills. Nice to Have Experience with Power BI, Azure Fabric, or similar tools. Background in professional services (not essential). Experience with metadata standards or data governance. Please apply with your most recent updated CV. ...

standards. Data Triage & Operational Support: Monitor data ingestion pipelines across Bronze, Silver, and Gold layers. You'll diagnose load failures and inconsistencies within our metadata-driven Fabric framework. Stakeholder Engagement: Act as the bridge between technical teams and departments like Finance and Sales to gather requirements and translate them into ...

working using Azure DevOps to manage solution lifecycle, automate deployments, and maintain environment consistency. XRM Toolbox Proficient in using XRM Toolbox for solution management, metadata analysis, and system administration tasks. Security Clearance: To be successfully appointed in this role, it may be requirement to hold or to be able ...

quality datasets. Ingest data from multiple sources including ChargeBee, legacy operational files, SharePoint, SFTP, SQL, REST and GraphQL APIs using Azure Data Factory and metadata-driven patterns. Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations. Curated Layers & Data Modelling Develop clean and conforming Silver & Gold layers aligned ...

Knowledge: * Profound understanding of data management principles, methodologies, and best practices. * Familiarity with data analytics tools, techniques, and technologies. * Strong understanding of data architecture, metadata management, and data quality techniques * Knowledge of project management methodologies, such as Agile, Scrum, or Waterfall. * Understanding of business intelligence concepts and practices. * Awareness ...

decision engines Ontology & Knowledge Graph Collaboration Translate conceptual ontologies into implementable schemas and data flows Partner with ontology architects on entity modelling, semantic definitions, metadata and lineage Deploy pipelines into ontology-aware platforms (e.g. graph databases, semantic layers, Foundry-style systems) Ensure semantic compliance, data integrity and reasoning-readiness Data ...

high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable ...

Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture ...

ability to connect technical decisions to measurable ROI. Desirable Experience Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. ...

ability to connect technical decisions to measurable ROI. Desirable Experience Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. ...

ability to connect technical decisions to measurable ROI. Desirable Experience Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. ...

ability to connect technical decisions to measurable ROI. Desirable Experience Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. ...

ability to connect technical decisions to measurable ROI. Desirable Experience Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. ...

ability to connect technical decisions to measurable ROI. Desirable Experience Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. ...

ability to connect technical decisions to measurable ROI. Desirable Experience Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. ...

ability to connect technical decisions to measurable ROI. Desirable Experience Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. ...

Dataflows, and Notebooks. Creating robust data models to support analytics and reporting functions. Integrating and transforming data from cloud and on-premise sources using metadata-driven processes. Developing secure, governed multi-tenant data environments with row- and tenant-level access controls. Ensuring data quality, consistency, and compliance across the stack ...

data imports, updates, and reconciliations. Deliver migrations across core data domains including: Accounts/financial data, Matter/case data, Contacts, Documents and related metadata Identify data quality issues, perform remediation, and work closely with clients to validate migrated data. Execute trial migrations, delta migrations, and final production cutover loads. ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

than owning or delivering data solutions. KEY REQUIREMENTS: · Financial Services Experience is essential · Strong experience shaping enterprise data architectures · Significant experience in governance, MDM, metadata, lineage, modelling, quality management and data security. · Have experience in cloud data platforms · Have an understanding of regulatory and compliance requirements impacting data · Strong stakeholder ...

than owning or delivering data solutions. KEY REQUIREMENTS: Financial Services Experience is essential Strong experience shaping enterprise data architectures Significant experience in governance, MDM, metadata, lineage, modelling, quality management and data security. Have experience in cloud data platforms Have an understanding of regulatory and compliance requirements impacting data Strong stakeholder ...

maintain target data architecture aligned to strategic objectives Design secure and scalable data ingestion and transformation frameworks Establish governance standards covering data quality, metadata and life cycle management Provide architectural assurance across delivery teams and contribute to design authority forums Ensure compliance with security, privacy and regulatory requirements including GDPR ...