26 to 50 of 374 Metadata Jobs

teams, and stakeholders to enable self-serve analytics and consumption.Good to have• Experience in banking or financial services data platforms.• Familiarity with data governance, metadata management, and regulatory reportingPersonalBesides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:•High analytical ...

optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.Develop and manage applications and visualization tools, contributing to novel data products that support ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. AI: You have a deep expertise or experience ...

mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance , lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning, cost optimization ...

wider MS Azure related components of storage, SQL, Power BI and SharePoint/OneDrive* Integration with third party connectors and on premises data sources* Metadata management, cataloguing, lineage, classification, and data lifecycle concepts.* Azure Active Directory/Entra ID identity governance and the Azure data services specifically Synapse, Data Factory ...

semi-structured datasets, transforming raw information into actionable insights. Data Workflow Development: Expertise in developing and maintaining data transformation processes, managing data structures, metadata, workload dependencies, and orchestration frameworks. Large-scale Data Processing: A demonstrated history of manipulating, processing, and extracting value from large, diverse, and disconnected datasets in fast ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/ ...

Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks API integration and distributed systems Data Governance and Metadata Management What We're Looking For Experience designing enterprise-scale data or integration platforms Strong architecture and solution design capability Experience leading complex cloud transformation ...

track record of designing and governing large-scale data and integration solutions across analytics and operational systems.Deep understanding of data governance, including data quality, metadata management, stewardship, and architectural assurance.Experience designing API‐led and event driven integration architectures.Practical experience architecting AI‐enabled data solutions, with an understanding of responsible ...

applications. Experience with Power BI, QuickSight, or similar tools for analytics. Adherence to ETL/data management best practices (e.g., incremental loads, error handling, metadata logging). Knowledge of data protection regulations (GDPR, CCPA) and security protocols (encryption, RBAC). Agile/SCRUM practitioner with experience in offshore team collaboration. ...

successful delivery of the Greyhound programme. To be successful as a Engineering Lead, you should have the following essential skills: Knowledge of data lineage, metadata management, and data governance frameworks. Experience with Business Intelligence and reporting platforms, including Power BI, Tableau, and Qlik. Validated experience working with modern data platforms ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. AI: You have a deep expertise or experience ...

Consultant is responsible for the implementation, configuration, and ongoing support of the Alation Data Intelligence Platform. The role focuses on onboarding data sources, enabling metadata management and governance capabilities, and ensuring the platform operates effectively to support data discovery, cataloging, and stewardship initiatives. Hybrid working: The places that you work … platform settings, user roles, permissions, workflows, stewardship, and governance features. Perform platform administration, monitoring, troubleshooting, performance tuning, and regular maintenance activities. Data Source Onboarding & Metadata Hydration Connect and onboard databases, data warehouses, BI tools, data lakes, and other enterprise data sources into Alation. Support migration of metadata from legacy repositories ...

Palantir Foundry and/or Gotham. Strong data engineering background, including ETL, data pipelines and workflow orchestration. Experience with data modelling, governance, lineage and metadata management. Proficiency in Python (TypeScript desirable). Knowledge of SDLC, Git and CI/CD practices. Strong communication skills with the ability to engage business ...

Palantir Foundry and/or Gotham. Strong data engineering background, including ETL, data pipelines and workflow orchestration. Experience with data modelling, governance, lineage and metadata management. Proficiency in Python (TypeScript desirable). Knowledge of SDLC, Git and CI/CD practices. Strong communication skills with the ability to engage business ...

stakeholders to enable self‐serve analytics and consumption. Good to Have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal and written ...

DevOps and test automation Delivery across on-premise, cloud and hybrid environments, including cloud migration programmes Key responsibilities include: Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption. Providing architectural direction ...

containerized services in Kubernetes environments Strong expertise with SQL and NoSQL systems, including schema design and optimization Knowledge of data governance processes, tools, and metadata management solutions Experience with infrastructure as code and platform engineering practices Experience implementing and maintaining CI/CD workflows Understanding of access control frameworks ...

Product usage and customer data sources Create unified commercial data architecture supporting: List pricing Contracted pricing Discounting Renewals Upsell and cross-sell performance Define metadata standards, governance processes, and data quality frameworks for pricing-related data. Pricing Analytics & Insights Build executive dashboards and reporting frameworks measuring: Price realisation Net Revenue ...

Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams ...

explain complex technical concepts to diverse stakeholders Experience working in regulated environments (aviation, financial services, healthcare, or similar) Familiarity with data governance, lineage, metadata management, and audit requirements Experience overseeing third‐party vendors or delivery partners Exposure to modern data platforms supporting analytics and BI workloads Technical Skills AWS Certification ...

ability to manage stakeholders, their expectations and explain complex problems or solutions in a manner suitable for the audience. Knowledge of data governance and metadata management. Knowledge of data security best practices and compliance requirements. Success Looks Like Safely implement controls to enable self‐service of Data for other teams ...

suite audiences. Hands-on data modelling capability across conceptual, logical and physical layers. Deep understanding of data management -data quality, MDM, reference data, metadata, governance and analytics/BI. Experience defining architecture patterns and applying structured methodologies. Proven ability to document and standardise data semantics , including taxonomies and vocabularies. Experience ...

network topology, entity relationships, dependency mapping, service impact, and fault propagation.* Work with AI/LLM engineers to provide high-quality features, embeddings, metadata, and contextual datasets for RAG and agentic AI systems.* Define network data quality rules, correlation logic, and entity resolution methods.* Create reusable analytical models ...