26 to 50 of 411 Permanent Metadata Jobs

implement scalable, secure data pipelines using Azure Data Factory and Azure Data Lake, supporting both batch and incremental processing. Establish and promote data integration best practices including naming conventions, metadata standards, and pipeline orchestration patterns. Identify and resolve gaps in the business processes and proposed changes. Coordinate with team leads, solution architects, and ETL developers to implement viable solutions to More ❯

emerging technologies, and market trends, advising leadership on best practices. • Communicate effectively with end-users, support staff, management, and other departments on all data-related initiatives. • Establish and maintain metadata management, data lineage, and cataloging to enhance discoverability and usability across the organization. • Assist other teams with the integration, implementation, and troubleshooting of projects involving local, cloud, and hybrid network More ❯

for large-scale data systems. Experience in shell scripting, Python, or other automation tools Familiarity with Oracle GoldenGate or similar CDC (Change Data Capture) tools Familiarity with data governance, metadata management, and data lineage practices Ability to work with cross-functional teams including data scientists, DBAs, and business analysts. Strong verbal and written communication skills for documenting and presenting solutions More ❯

Lambda, Kinesis, Athena, Lake Formation. Strong hands-on experience with Snowflake - architecture, performance tuning, security, and data sharing features. Proficient in data modelling, data integration (ETL/ELT), and metadata management. Deep understanding of data governance, data security, and compliance in cloud environments. Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) is a plus. Strong communication and stakeholder management More ❯

medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage More ❯

to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including test automation, unit testing, and CI/CD pipelines. Support data governance and metadata management initiatives to ensure data integrity and compliance. Explore and apply AI-assisted development tools (eg GitHub Copilot) and automation to improve engineering efficiency and solution quality. About the Candidate More ❯

skills, with the ability to articulate solutions to both engineers and business stakeholders. Bonus points: Azure Cloud certifications. Experience with dbt and modern orchestration tools. Exposure to data governance, metadata management, or data quality frameworks. What's on offer: Competitive salary package (up to £XX,XXX , depending on experience). Benefits package including healthcare, pension, and wellbeing perks. Hybrid working More ❯

skills, with the ability to articulate solutions to both engineers and business stakeholders. Bonus points: Azure Cloud certifications. Experience with dbt and modern orchestration tools. Exposure to data governance, metadata management, or data quality frameworks. What's on offer: Competitive salary package (up to £XX,XXX , depending on experience). Benefits package including healthcare, pension, and wellbeing perks. Hybrid working More ❯

for large-scale data systems Experience in shell scripting, Python, or other automation tools FAmiliarity with Oracle GoldenGate or similar CDC (Change Data Capture) tools Familiarity with data governance, metadata management, and data lineage practices Ability to work with cross-functional teams including data scientists, DBAs, and business analysts Strong verbal and written communication skills for documenting and presenting solutions More ❯

in Data Strategy and Data Governance Strong communication and stakeholder management skills. The Nice-to-Haves (bonus points if you have these!): Experience with Monte Carlo, Alation, or similar metadata/observability tools. Knowledge of event streaming, API integration, and MLOps . Experience in regulated, high-volume industries (gaming, finance, or e-commerce). Proficiency with integration/orchestration tools More ❯

Large-scale data architecture, data modeling, database design, and information systems implementation Demonstrated knowledge and expertise in enterprise data strategy, data governance practices, data stewardship principles, data standards, and metadata management best practices Ability to translate requirements into end-to-end designs for systems that involve multiple interfaces and support data repositories Strong customer service skills, teaming skills, and the More ❯

model data for visualization and decision-making Optimize dashboard performance and ensure data integrity and accuracy Translate complex datasets into clear, compelling, and actionable visual stories Support data governance, metadata management, and documentation efforts Ensure compliance with federal data policies, classification, and security protocols Collaborate with developers, analysts, and security personnel to ensure secure and scalable data solutions Basic Qualifications More ❯

Fabric). Hands-on experience with Azure Data Factory, Snowflake, DBT, and Microsoft Fabric. Understanding of Data Mesh principles and domain-oriented data product design. Familiarity with data governance, metadata management, and data quality frameworks. Experience in financial services, ideally asset management. Strong communication and collaboration skills. We are proud to be a Disability Confident Committed employer. If you have More ❯

medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage More ❯

principles of data modelling Re-engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems, data for analytics and business More ❯

Design and implement conceptual, logical, and physical data models (3NF, Kimball, Data Vault) Architect and optimise data platforms including data lakes , lakehouses , and data warehouses Lead the development of metadata-driven ingestion and transformation pipelines Ensure compliance with GDPR and internal data governance policies Collaborate with engineering and delivery teams to define and align technical direction Oversee the full data More ❯

Design and implement conceptual, logical, and physical data models (3NF, Kimball, Data Vault) Architect and optimise data platforms including data lakes , lakehouses , and data warehouses Lead the development of metadata-driven ingestion and transformation pipelines Ensure compliance with GDPR and internal data governance policies Collaborate with engineering and delivery teams to define and align technical direction Oversee the full data More ❯

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 More ❯

glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. More ❯

glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. More ❯

glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. More ❯

glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. More ❯

glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. More ❯

Ensure solutions adhere to Army policies and procedures and comply with DoD and federal government regulations. Guide teams in implementing best practices for data governance, data quality management, and metadata management. Qualifications Master's degree in an Information Technology discipline or a related field. 10+ years of experience in engineering and deploying cloud based information systems and solutions. 5+ years More ❯

Python, with hands-on experience in distributed data frameworks (e.g., Apache Spark) Experience working with structured, semi-structured, and unstructured data sources Strong understanding of data governance, security, and metadata management in secure or classified environments Active DoD Top Secret/SCI with CI Poly at the time of hire What Desired Skills You'll Bring: 10 years of progressive More ❯