26 to 50 of 293 Metadata Management Jobs

aligned with business priorities and regulatory frameworks. Lead architecture for enterprise data platforms such as Azure Synapse, Databricks, Power BI, and Informatica. Establish enterprise-wide standards for master data, metadata, lineage, and data stewardship. Collaborate with business and domain architects to identify and support key data domains. Provide architectural oversight for major initiatives in data ingestion, transformation, and analytics. … Define data access, privacy, quality, and lifecycle management policies at the enterprise level. Champion enterprise taxonomies, data product strategies, and federated governance. Stay informed on and assess innovations such as data mesh, lakehouse, and generative AI for enterprise applicability. Key Decision Areas: Defining the balance between centralized vs. federated data ownership and governance models. Selecting appropriate architecture patterns (e.g. … focus on data, information, or analytics. Proven hands-on expertise with data platforms such as Azure Data Lake, Synapse, Databricks, Power BI, etc. Deep knowledge of data governance, MDM, metadata management, and data quality frameworks. Understanding of data protection and privacy regulations (e.g., GDPR, CCPA). Track record of developing and executing enterprise data strategies at scale. Strong More ❯

to the Service Delivery team as needed. Required Skills & Experience Extensive Power BI development experience, including expertise in PBI Desktop, PBI Service, and content distribution. Strong understanding of data management platforms, BI lifecycle methodologies, and data visualisation best practices. Proficiency in SSMS or Azure Data Studio, dimensional data modelling (Kimball methodology), and data presentation in Power BI using DAX. … experience. Experience with Microsoft Dataverse, Data Factory, SSIS, and Azure Data Platform. Knowledge of Microsoft D365 Finance & Operations and Customer Experience modules. Familiarity with Fabric, Azure Synapse, and data management practices including governance, quality, and metadata management (MS Purview). Relevant Microsoft certifications such as PL-300 (Power BI Data Analyst Associate) or DP-600 (Fabric Analytics More ❯

Pipeline Engineering: Design and implement resilient ETL/ELT workflows using technologies such as BigQuery, Dataflow, Informatica, or IBM DataStage, supporting real-time and batch processing. Governance & Data Quality Management: Establish data governance frameworks, including metadata management and quality assurance, using platforms like Unity Catalog, Alation, Profisee, or DQ Pro. Strategic Advisory & Stakeholder Engagement: Partner with executive More ❯

Design and implement resilient ETL/ELT workflows using technologies such as BigQuery, Dataflow, Informatica, or IBM DataStage, supporting both real-time and batch data processing. Governance & Data Quality Management: Establish comprehensive data governance frameworks, including metadata management and quality assurance, using platforms like Unity Catalog, Alation, Profisee, or DQ Pro. Strategic Advisory & Stakeholder Engagement: Serve as More ❯

Design and implement resilient ETL/ELT workflows using technologies such as BigQuery, Dataflow, Informatica, or IBM DataStage, supporting both real-time and batch data processing. Governance & Data Quality Management: Establish comprehensive data governance frameworks, including metadata management and quality assurance, using platforms like Unity Catalog, Alation, Profisee, or DQ Pro. Strategic Advisory & Stakeholder Engagement: Serve as More ❯

skills. Preferred Qualifications: Cloud certification (Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). #J-18808-Ljbffr More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

. Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

for the Data Engineer role at Somerset Bridge Group Get AI-powered advice on this job and more exclusive features. Application Deadline: 27 June 2025 Department: [SBSS] Enterprise Data Management Location: Newcastle Compensation: £55,000 - £68,500/year Description We're building something special — and we need a talented Data Engineer to help bring our Azure data platform … Ability to diagnose issues and implement efficient solution Experience implementing Databricks Unity Catalog for data governance, access control, and lineage tracking. Understanding of Azure Purview for data cataloging and metadata management. Familiarity with object-level and row-level security in Azure Synapse and Databricks Experience working with Azure Event Hubs, Azure Data Explorer, or Kafka for real-time data … concepts to non-technical stakeholders. Collaboration – Works effectively with cross-functional teams, including Pricing, Underwriting, and IT. Adaptability – Thrives in a fast-paced, agile environment with evolving priorities. Stakeholder management – Builds strong relationships and understands business requirements Innovation-driven – Stays up to date with emerging technologies and industry trends. Our Benefits Hybrid working – 2 days in the office and More ❯

GDPR ). 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). More ❯

GDPR ). 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to More ❯

ERP Business Analyst (BA) Senior - Metadata Management/Data Quality Location: Redstone Arsenal, Huntsville, AL Job Title: Enterprise Resource Planning (ERP) Business Analyst (BA) Senior (Metadata Management/Data Quality) Duty Location: Logistics Data Analysis Center (LDAC), Redstone Arsenal, Huntsville AL Clearance Level (Must Have): Active DoD - Secret Required Certifications (Must Have): None Salary … The candidate should have a working knowledge of the Army's data and legacy systems, its associated systems, and an understanding of the Army's concept of Enterprise Data Management and Authoritative sources. The ERP BA Senior will assist in logistics support activities centered on data quality support and enterprise data management relative to the Army's ERP … solutions to support identified metrics, as well as monitoring ERP data quality and availability using metrics and audits. • Enforcing the business processes implemented for the organization's enterprise data management and data integration. • Performing technical analysis by assessing the areas of impact of data issues from all levels of the enterprise. • Assisting in maintaining and sustaining migration efforts and More ❯

Join a Global Technology Consultancy and Shape the Future of Data Are you a seasoned data management professional looking to make a significant impact? About the Role: As a Senior Data Management Consultant at this global consultancy, you'll play a pivotal role in guiding organisations towards data-driven excellence. You'll work closely with clients to develop … and implement robust data management strategies, ensuring data quality, security, and governance. Your expertise will be instrumental in helping clients unlock the full potential of their data assets. Why Choose Them: Global Leadership: Be part of a successful global technology consultancy shaping the future of data. Challenging Projects: Work on diverse and impactful projects that drive real-world business … flexible work environment and competitive benefits that support your professional and personal goals. Continuous Development: Benefit from opportunities for ongoing learning and development, staying at the forefront of data management trends. Key Responsibilities: Data Governance and Ethics: Develop and implement comprehensive data governance frameworks that align with business objectives and regulatory requirements. Ensure adherence to ethical concepts and best More ❯

Social network you want to login/join with: Senior Data Management Consultant, London col-narrow-left Client: Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: f5855dffa8cf Job Views: 4 Posted: 29.06.2025 Expiry Date: 13.08.2025 col-wide Job Description: Join a Global Technology Consultancy and Shape the Future of Data … Are you a seasoned data management professional looking to make a significant impact? About the Role: As a Senior Data Management Consultant at this global consultancy, you’ll play a pivotal role in guiding organisations towards data-driven excellence. You’ll work closely with clients to develop and implement robust data management strategies, ensuring data quality, security … flexible work environment and competitive benefits that support your professional and personal goals. Continuous Development: Benefit from opportunities for ongoing learning and development, staying at the forefront of data management trends. Key Responsibilities: Data Governance and Ethics: Develop and implement comprehensive data governance frameworks that align with business objectives and regulatory requirements. Ensure adherence to ethical concepts and best More ❯

Technologies: ETL, Data Warehouse, Informatica, Oracle, SQL, Database Design, Metadata Management, Data Modelling, Data Quality, Data Lake Concepts, QlikView, Communication Calling urgently for ETL developers for an exciting REMOTE contract opportunity to join a financial sector client, based in Sweden! Our client is looking for an ETL developer who has experience within the financial industry and working in … with the Data Governance organization to ensure alignment or additions to the current Business Glossary definitions. Populate data marts with quality data for use with BI solutions Work with metadata management Required experience/knowledge: Knowledge and experience from the financial sector Good knowledge and experience with databases and data modeling, preferably Oracle (and SQL) Good knowledge of … etc.) is a plus Experience with ETL tools and processing Experience with data lake concepts Experience working with data quality Experience designing data warehouse solutions Experience with master data management Experience with metadata and reference data management Good documentation skills Ability to work both individually and collaboratively Structured, analytical, and accurate Fluent in English, with awareness and More ❯

data owners and curating stewardship roles across the enterprise Champion data literacy initiatives and promote a culture of accountability around data across the organisation Design and implement processes for metadata management, data lineage tracking, and data lifecycle management Provide hands-on configuration and support of Purview (or similar tools), including metadata scanning, asset classification, glossary management … and deploy Microsoft Purview in enterprise environments, including integration with other Microsoft data services Policy & Framework Development: Experience authoring and implementing data policies, stewardship models, and governance operating models Metadata & Lineage Management: Strong knowledge of metadata standards, data cataloguing practices, and lineage documentation Stakeholder Engagement: Demonstrated ability to work across business and technical stakeholders, driving consensus and … adoption of governance practices Regulatory Compliance Understanding: Solid grasp of compliance frameworks such as G.D.P.R., C.C.P.A., and other data protection legislation. QUALIFICATIONS Bachelor’s degree in Data Management, Information Systems, Computer Science, or related discipline Minimum of 5 years’ experience in data governance roles, with demonstrable success in policy development and tool implementation Strong expertise in Microsoft Purview; experience More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (“as-is”) and future (“to-be”) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing … for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (“as-is”) and future (“to-be”) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing … for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work More ❯

in their data career within a consulting environment. Key Responsibilities Support Data Governance & Strategy Projects: Assist in the development and rollout of data governance models, data ethics frameworks, and metadata strategies tailored to client needs. Enhance Data Quality & Processes: Help clients improve the accuracy, consistency, and reliability of their data through practical quality initiatives and tooling recommendations. Assessment & Analysis … and business teams, as well as external stakeholders, to ensure data solutions align with both business and technology objectives. Enable Data Transformation: Contribute to larger transformation programmes where data management plays a central role - from concept to implementation. Drive Innovation: Support the exploration of new technologies, tools, and methods that can enhance data strategy, including automation and AI-led … governance solutions. Upskilling & Education: Assist in delivering workshops and training sessions to improve client understanding of data governance, management, and emerging trends. Ideal Candidate Profile 2-5 years of experience in data management, data strategy, or information governance - ideally in a consulting, advisory, or client-facing environment. Working knowledge of key data management concepts, including data quality More ❯

in their data career within a consulting environment. Key Responsibilities Support Data Governance & Strategy Projects: Assist in the development and rollout of data governance models, data ethics frameworks, and metadata strategies tailored to client needs. Enhance Data Quality & Processes: Help clients improve the accuracy, consistency, and reliability of their data through practical quality initiatives and tooling recommendations. Assessment & Analysis … and business teams, as well as external stakeholders, to ensure data solutions align with both business and technology objectives. Enable Data Transformation: Contribute to larger transformation programmes where data management plays a central role - from concept to implementation. Drive Innovation: Support the exploration of new technologies, tools, and methods that can enhance data strategy, including automation and AI-led … governance solutions. Upskilling & Education: Assist in delivering workshops and training sessions to improve client understanding of data governance, management, and emerging trends. Ideal Candidate Profile 2–5 years of experience in data management, data strategy, or information governance - ideally in a consulting, advisory, or client-facing environment. Working knowledge of key data management concepts, including data quality More ❯

and engage with, support and lead on the finance data requirements and design for any future systems required for central financial reporting within Government and HM Treasury. Showcase excellent metadata quality management and embed effective processes and procedures in product lifecycles to drive high quality outputs and standards, utilising Project, and Programme Management methodologies, best practices, and … by building data systems to extract, transform, and load (ETL) data from various sources (e.g., MS Fabric or other). Lead and facilitate strong stakeholder engagement for effective Data Management, Data Integrity, and Data Governance, across Government and 3rd Parties but particularly with Functional and Department Data Leads. Engage and support Data communities to share knowledge and approaches, and … provide training, guidance, and support for Data Management best practices. About You You will be qualified in Digital Data Architecture – Experience delivering cloud platforms like AWS, Azure, or GCP, with relevant TOGAF qualification (e.g., Enterprise Architect, Data Scientist etc.) and Programming -Strong proficiency in SQL and other programming languages, such as Python or Java, with an associated qualification (e.g. More ❯

and engage with, support and lead on the finance data requirements and design for any future systems required for central financial reporting within Government and HM Treasury. Showcase excellent metadata quality management and embed effective processes and procedures in product lifecycles to drive high quality outputs and standards, utilising Project, and Programme Management methodologies, best practices, and … by building data systems to extract, transform, and load (ETL) data from various sources (e.g., MS Fabric or other). Lead and facilitate strong stakeholder engagement for effective Data Management, Data Integrity, and Data Governance, across Government and 3rd Parties but particularly with Functional and Department Data Leads. Engage and support Data communities to share knowledge and approaches, and … provide training, guidance, and support for Data Management best practices. About You You will be qualified in Digital Data Architecture – Experience delivering cloud platforms like AWS, Azure, or GCP, with relevant TOGAF qualification (e.g., Enterprise Architect, Data Scientist etc.) and Programming -Strong proficiency in SQL and other programming languages, such as Python or Java, with an associated qualification (e.g. More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (“as-is”) and future (“to-be”) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing … for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work More ❯