51 to 75 of 387 Metadata Jobs

and delivering modern data platforms at scale Familiar with TOGAF and other enterprise architecture frameworks Experience and knowledge of data governance, data quality, and data cataloguing Knowledge of master, metadata and reference data management An understanding of Agile working practices and sprint based methodology Capable of actively contributing to knowledge sharing Desirable Knowledge, Skills and Experience: Knowledge of genomics Experience More ❯

etc. Conceptual and Logical design of the Data & Analytics Platform; together with experience of data repository consolidation and end user computing Supporting Data Governance colleagues in areas such as metadata management, data lineage, data audits and general data quality improvement Experience of implementing Master Data Management approaches and tooling Selection of external systems/services with a data component - in More ❯

understanding of the trade and portfolio management lifecycle, operations, compliance, risk, and attribution reporting. Demonstrated experience in data management, including DQ value, processes, tools, and related activities (data governance, metadata, data standards, data aggregation). A collaborative, team-oriented mindset with a passion for continuous learning and innovation. Experience presenting to and influencing executive-level stakeholders and contributing to enterprise More ❯

and implementation a unified data platform from ingestion, processing through transformation pipelines leveraging Databricks Delta Lake Drive adoption of modern data stack for core platform, orchestration, streaming, data quality, metadata management, monitoring and governance Ensure platform scalability, reliability, and performance to support rapidly growing usage while solving for ease of adoption by customer & internal teams Recruit, grow, and lead exceptional More ❯

per week to collaborate with your team and business stakeholders. As part of a transformative project leveraging Microsoft Fabric, you'll lead the design and implementation of a scalable, metadata-driven Medallion architecture. You'll work closely with cross-functional teams to deliver robust, trusted, and timely data solutions that power advanced analytics and business intelligence. What You'll Do More ❯

per week to collaborate with your team and business stakeholders. As part of a transformative project leveraging Microsoft Fabric, you'll lead the design and implementation of a scalable, metadata-driven Medallion architecture. You'll work closely with cross-functional teams to deliver robust, trusted, and timely data solutions that power advanced analytics and business intelligence. What You'll Do More ❯

per week to collaborate with your team and business stakeholders. As part of a transformative project leveraging Microsoft Fabric, you'll lead the design and implementation of a scalable, metadata-driven Medallion architecture. You'll work closely with cross-functional teams to deliver robust, trusted, and timely data solutions that power advanced analytics and business intelligence. What You'll Do More ❯

per week to collaborate with your team and business stakeholders. As part of a transformative project leveraging Microsoft Fabric, you'll lead the design and implementation of a scalable, metadata-driven Medallion architecture. You'll work closely with cross-functional teams to deliver robust, trusted, and timely data solutions that power advanced analytics and business intelligence. What You'll Do More ❯

existing data and analytics platforms and tools. You will contribute in pre-sales and design, implement scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, and provide delivery oversight. Here's how you'll contribute: Senior Data consultant at Zensar participates in end to end cycle from opportunity More ❯

client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging insights to shape innovative solutions More ❯

aligned to frameworks such as TOGAF or Zachman. Key Responsibilities Design and implement hybrid data architectures (cloud and on-prem) to support business strategy. Lead data governance initiatives, including metadata management, data quality, and policy enforcement. Identify and address areas of technical debt within data systems, driving long-term sustainability and agility. Collaborate with cross-functional teams to define and More ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation:Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts:Helps in building reusable and sustainable DQ frameworks across different domains. More ❯

BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. This job posting is active and open for applications. More ❯

tables, and scalability best practices It will also help you to have Experience establishing and enforcing data governance standards through technical architecture (not just documentation) Familiarity with data cataloging, metadata management, and observability tools A systems-thinking mindset-you understand the full data lifecycle and how to maintain integrity from source to dashboard At Booksy, we believe in the power More ❯

to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and More ❯

Embark on a transformative journey as a Meta Data Architect . At Barclays, our vision is clear -To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business More ❯

Design and implement conceptual, logical, and physical data models. Define architecture standards and ensure alignment with business needs. Collaborate with data engineers, architects, and product teams. Maintain data dictionaries, metadata, and lineage documentation. Support data product performance, scalability, and compliance. Lead resolution of data issues and performance bottlenecks. Requirements: 10+ years in data architecture/modeling. Expertise in modeling techniques More ❯

We need with minimum 8+ years of experience Key Responsibilities: Design, build, and maintain scalable and robust data pipelines using Airflow, Fivetran, and DBT. Develop data models and document metadata using Erwin Data Modeler. Collaborate with business stakeholders and data analysts to understand data requirements and translate them into efficient engineering solutions. Optimize data flows and manage orchestration and scheduling More ❯

play a key role in transforming business requirements into scalable and insightful reporting and dashboard solutions. Role The Oracle BI Consultant will design and develop OBIEE dashboards, reports, and metadata models (RPD). Translate business requirements into technical specifications and BI solutions. Write, optimise, and maintain complex SQL queries for data extraction, transformation, and analysis. Develop and manage data models More ❯

play a key role in transforming business requirements into scalable and insightful reporting and dashboard solutions. Role The Oracle BI Consultant will design and develop OBIEE dashboards, reports, and metadata models (RPD). Translate business requirements into technical specifications and BI solutions. Write, optimise, and maintain complex SQL queries for data extraction, transformation, and analysis. Develop and manage data models More ❯

data pipelines with Python and PySpark Automate deployments and infrastructure with DevOps and CI/CD Implement access controls and data protection policies Integrate governance tools like Collibra for metadata and lineage tracking Collaborate with cross-functional teams to enable data-driven decision-making What You'll Bring Proven experience in cloud-based data engineering (Azure, Databricks) Strong Python/ More ❯

based services, particularly AWS Proven 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 such as Data Scientists and More ❯

data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build credibility with More ❯

with enterprise standards. Your Profile: Proven experience as a Data Architect or Data Modeller in the insurance or financial services domain. Strong understanding of data governance, data lineage, and metadata management. Hands-on experience with data modelling tools (e.g., Erwin, PowerDesigner). Familiarity with hyperscalers and modern data platforms (e.g., Databricks, Snowflake). Ability to articulate complex technical concepts clearly More ❯

physical systems, ensuring secure and efficient data storage. • Analyze system requirements and develop strategies for migrating and integrating existing data. • Lead the design, implementation, and maintenance of databases and metadata structures, ensuring integration with corporate standards. • Stay informed of industry trends in database technology, providing strategic recommendations to improve performance and scalability. • Conduct database performance evaluations, risk assessments, and financial More ❯