176 to 200 of 294 Metadata Management Jobs

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best … practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms (data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best … practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms (data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best … practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms (data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world ), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce . Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools ( Monte Carlo, Anomalo, Soda ) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document … best practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms ( data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world ), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce . Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools ( Monte Carlo, Anomalo, Soda ) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document … best practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms ( data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency More ❯

scale data architecture projects, providing strategic direction and expert guidance. Partner with senior technology leaders to develop and implement modern data strategies. Design and deliver innovative solutions for data management, governance, and cloud migration. Oversee the development of robust data platforms using cutting-edge cloud technologies. Manage project teams, mentor junior staff, and support business development initiatives. Ideal Candidate … enterprise data architecture, strategy, and 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 record of success … in complex environments. Outstanding leadership and stakeholder management skills, with a collaborative and innovative mindset. Why Join Us? Work on transformative projects with leading financial institutions. Join a global network of data strategists, architects, and engineers. Enjoy a non-hierarchical, inclusive culture that values your expertise. Take advantage of extensive learning and career development opportunities. Access competitive family-friendly More ❯

Help shape the future of data governance at Stonewater. Were looking for a strategic and detail-oriented SDR Data Management Analyst to lead the delivery of our data management strategy and ensure confidence in our information assets. This is a key role where your expertise will directly support regulatory compliance and data integrity across the organisation. As the … standards. Expertise in data governance, BI/MI, and CRM systems, with a proven ability to align them to SDR requirements. Advanced knowledge of data quality frameworks, master data management, metadata, and reference data hierarchies. Proficiency in data validation, cleansing technologies, and lineage tracking. Familiarity with ETL/integration pipelines and validation of outputs for regulatory purposes. Excellent More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as More ❯

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as More ❯

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as More ❯

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as More ❯

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as More ❯

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as More ❯

procedures, and Azure Synapse for data processing. Guide the team on best practices, architecture, and documentation standards. Engage with stakeholders to ensure solutions are aligned with business needs. Integrate metadata sourcing from Collibra and support model curation using tools like Tabular Editor. Participate in agile ceremonies, code reviews, and solution design reviews. Required Skills & Experience: 10+ years of experience … engineering, BI, or data architecture roles. Strong expertise in Azure Synapse, ADF, SQL, and Power BI. Proven experience in designing and implementing dimensional models and semantic layers. Familiarity with metadata management tools (e.g., Collibra) and model curation tools (e.g., Tabular Editor). Excellent communication and stakeholder management skills. Experience working in agile environments and leading technical teams. More ❯

as their respective accountabilities for data stewardship. Ideally, we want someone with : Good Data Governance leadership experience Data Governance expertise. Leading the implementation of data governance frameworks, data catalogues, metadata management, and data quality processes. Passionate about Data Quality management Knowledge of the DAMA Data Management Body of Knowledge Experience building a community of Data Stewards More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of … models, regulatory landscape, and data challenges. Proven track record of delivering data transformation programs in complex environments. Strong knowledge of data governance, data architecture, and analytics platforms. Excellent stakeholder management, communication, and presentation skills. Experience working in or with consulting firms, Big 4, or boutique advisory practices. About Capgemini Capgemini is a global business and technology transformation partner, helping More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of … models, regulatory landscape, and data challenges. Proven track record of delivering data transformation programs in complex environments. Strong knowledge of data governance, data architecture, and analytics platforms. Excellent stakeholder management, communication, and presentation skills. Experience working in or with consulting firms, Big 4, or boutique advisory practices. About Capgemini Capgemini is a global business and technology transformation partner, helping More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of … models, regulatory landscape, and data challenges. Proven track record of delivering data transformation programs in complex environments. Strong knowledge of data governance, data architecture, and analytics platforms. Excellent stakeholder management, communication, and presentation skills. Experience working in or with consulting firms, Big 4, or boutique advisory practices. About Capgemini Capgemini is a global business and technology transformation partner, helping More ❯