26 to 50 of 169 Metadata Jobs

implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with a track ...

from data architecture to deployment Collaborate with business, IT, and data teams to ensure alignment and delivery Contribute to database design, data lineage, and metadata management Support implementation of data governance, integration, and reporting workflows What We're Looking For: Strong experience in business/systems analysis or technical data ...

functional teams in complex environments Desirable (Nice to Have) Experience supporting machine learning or advanced analytics platforms Knowledge of data governance, data quality, and metadata management Background in SQL, Python, or similar (not required to code, but must be data-literate) Experience managing cloud cost optimisation initiatives Databricks ...

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 ...

structured/semi-structured telecom datasets (CDRs, network logs, subscriber data) Data Lake Technologies: Expertise in Apache Iceberg table format Schema evolution, partitioning, compaction & metadata management Query performance tuning with Athena & Redshift Spectrum Redshift Expertise: Data modeling, distribution styles, sort keys Workload management (WLM) Performance optimization & troubleshooting Python: Automation scripts ...

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 ...

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 ...

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 ...

SharePoint. - Handson experience building automation, workflows, bots and integrated applications using the Power Platform. - Strong understanding of SharePoint development, including structured libraries, metadata, permissions and integration with other data sources. - Knowledge of core development languages such as PowerShell, JavaScript, C#, Python or similar. - Experience working with data sources including ...

best practices Collaborate with product teams and solution architects to design integrated, end-to-end data flows Maintain enterprise data dictionaries, taxonomies, and metadata repositories Perform oversight and quality assurance on data architecture artefacts and reverse-engineered data structures Provide data architecture input into enterprise and solution architecture to ensure ...

architectures with clear technical trade-offs • Developing robust pipelines for telemetry, sensor, and operational data • Implementing data quality controls, monitoring, and alerting • Managing schemas, metadata, lineage, and dataset ownership • Embedding security best practices: encryption, access control, auditability • Delivering reusable datasets and data products (not one-off extracts) • Documenting standards ...

data rationalization blueprint (canonical models, golden records, de duplication rules, survivorship logic Define and govern data quality metrics (completeness, accuracy, timeliness), data lineage, and metadata standards. Architect migration waves for historical data (bulk loads + change data capture), including schema mapping, validation, and reconciliation. Select and guide tooling ...

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 (edge/server, integration with FDC/MES/R2R/SPC) Ensuring data quality, standards, and data governance (interfaces, documentation, semantics/metadata, ownership) in close collaboration ("handshake") with IT/OT Technical interface and coordination between manufacturing, engineering, AI key users, and IT/OT; active stakeholder ...

Semantic Technologies. You will be contributing to using our Enterprise Knowledge Graph to help solve complex business problems around Data Lineage, Resilience, Cyber Response, Metadata Management, Data protection all contributing to toe Firm’s overall data strategy. As a lead member of our business analyst and data analytics team ...

risking engines using SAS RTENG and SAS Studio V . Integration: Implement automated ingestion pipelines using approved Enterprise Architecture (EA) integration patterns. Governance: Manage metadata and data dictionaries (using MS Purview ) to ensure compliance with strict security and decommissioning policies. Technical Requirements: SAS Stack: Strong proficiency in SAS Viya 3.5 ...

ITAM, CSM, HRSD, SecOps, GRC, etc.). Strong integration experience: REST/SOAP APIs, IntegrationHub, MID Server, custom integrations. Understanding of data modeling, CMDB, metadata, core data, data governance, security. Experience in defining and implementing technical governance, architecture operating models, instance strategy. Good knowledge of IT best practices and frameworks ...

ITAM, CSM, HRSD, SecOps, GRC, etc.). Strong integration experience: REST/SOAP APIs, IntegrationHub, MID Server, custom integrations. Understanding of data modeling, CMDB, metadata, core data, data governance, security. Experience in defining and implementing technical governance, architecture operating models, instance strategy. Good knowledge of IT best practices and frameworks ...

data architecture transformation Exposure to business capability models, process taxonomies, and maturity assessments Hands-on experience with data platform architecture, including data quality, metadata, security, privacy, and compliance Understanding of public and private cloud architectures Experience using enterprise architecture tools such as LeanIX, Avolution, Orbus, Bizzdesign, or similar Relevant certifications ...

data architecture transformation Exposure to business capability models, process taxonomies, and maturity assessments Hands-on experience with data platform architecture, including data quality, metadata, security, privacy, and compliance Understanding of public and private cloud architectures Experience using enterprise architecture tools such as LeanIX, Avolution, Orbus, Bizzdesign, or similar Relevant certifications ...

Engineering teams Required Experience Strong experience with SAS Viya architecture & administration Proven background as: SAS Platform Engineer SAS Infrastructure Engineer Deep understanding of: SAS Metadata, SAS Grid, SAS Compute Linux system administration Kubernetes (for Viya 4) Cloud platforms (AWS/Azure/GCP preferred) ETL processing & SAS Migration experience Infrastructure ...

platforms (e.g., Intergraph, Smallworld) Ensure continuity of historical insights and data integrity 4. Data Governance & Quality Establish data stewardship processes and governance frameworks Implement metadata standards, symbology conventions, and data validation mechanisms Leverage automation and AI/ML for data quality improvement 5. Geospatial Analytics & Modelling Enable spatial analytics, economic ...

architectures. Proven ability to design scalable, modular, and maintainable data solutions. Experience working in cloud platforms (Azure preferred). Solid understanding of data governance, metadata, and quality frameworks. Confidence influencing stakeholders and translating complex requirements into solutions. A pragmatic, delivery-focused mindset with a passion for engineering excellence. At Evri ...