26 to 50 of 350 Metadata Jobs

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 ❯

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 ❯

Spark (SQL, PySpark), Databricks Workflows Data Pipeline Design : Proven experience in scalable ETL/ELT development Azure Services : Data Lake, Blob Storage, Synapse Data Governance : Unity Catalog, access control, metadata management Performance Tuning : Partitioning, caching, Spark job optimization Cloud Architecture : Infrastructure-as-code, monitoring, automation Finance Domain Knowledge : Experience with financial systems and reporting Data Modelling : Kimball methodology, star schemas More ❯

ETL workflows.• Develop and optimise relational and non-relational database systems.• Collaborate with analysts, researchers, and IT teams to deliver tailored data solutions.• Implement and maintain data governance and metadata frameworks.• Ensure data security, integrity, and compliance with regulations such as GDPR.• Contribute to data architecture design and enterprise data strategy.• Lead technical data planning within change programmes.• Explore and More ❯

platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks (e.g., GDPR). Hands-on understanding of Python, SQL, and modern data engineering tools (e.g., Airflow, DBT, Atlan). Exceptional consulting and stakeholder management skills. Career 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 ❯

and equality of opportunity for all. Senior Responsibilities Taking a specific area of accountability on data ecosystem solution architecture, e.g., master data management, reference data management, enterprise data catalogue, metadata Taking a specific area of responsibility in organisation wide data policies, e.g., data privacy, data archival, data lifecycle management, data processing, data analysis Ensuring specific areas of accountability and responsibility More ❯

architecture and design of an enterprise-scale AWS-based data lake and data integration ecosystem to support advanced analytics and AI/ML initiatives. Define and enforce data modeling, metadata, data lineage, and data governance standards to support analytics and machine learning workflows Establish best practices in data architecture, including schema design, data normalization, and optimal format selection (e.g., Parquet … of experience designing and implementing cloud-native data solutions in AWS, including services such as Glue, S3, Athena, Redshift, Lake Formation, Step Functions, and Lambda. Experience in data modeling, metadata management, and data governance frameworks. Understand ETLconcepts of data flow, data enrichment, data consolidation, change data capture and transformation Hands-on experience architecting data lakes, data warehouses, and real-time More ❯

and innovation Technology Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Join a business where data is at the heart of decision-making and where you can work on exciting projects that More ❯

and innovation Technology Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Join a business where data is at the heart of decision-making and where you can work on exciting projects that More ❯

succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across More ❯

DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable and efficient data models, metadata systems, and data catalogues aligned with business objectives. Optimise performance and resolve issues to ensure data accessibility and responsiveness. Provide guidance and oversight to project teams on data architecture and More ❯

Developer) or PL-600 (Solution Architect) strongly preferred. Proven expertise in Dataverse schema design, Power BI dashboarding, and enterprise data integration. Strong knowledge of data governance, compliance, and metadata management. Minimum of an active DoD Secret clearance required. Candidates without a minimum of a Secret clearance will not be considered. We invest in the lives of our employees, both in More ❯

working with Parquet Files for efficient data storage and retrieval. Hands-on experience with Airflow for orchestrating complex data workflows. Familiarity with Databricks Medallion model. Familiarity with OpenMetaData for metadata management and data governance. Experience working with streaming and batch data processing frameworks is a plus. Due to US Government Contract Requirements, only US Citizens are eligible for this role. More ❯

Skilled in using documentation and project tracking tools such as Jira, Confluence, or Azure DevOps. Familiarity with cloud data warehouse platforms like Snowflake and related data governance, quality, and metadata management principles. Experienced in reporting and visualization tools, including Power BI, Tableau, and Excel dashboards. We are proud to be a Disability Confident Committed employer. If you have a disability More ❯

expertise with Talend and Snowflake Solid knowledge of ETL tools and data transformation techniques (JSON, XML) Proficiency in SQL, Python, or other scripting languages for automation Strong understanding of metadata structures, relational databases, and data modeling Hands-on experience with version control and CI/CD practices Excellent analytical and problem-solving skills Strong communication skills and ability to work More ❯

Azure services such as Azure SQL Database, Data Factory, Data Lake, Cosmos DB, and more Define the strategic roadmap for cloud platforms and DevOps methodologies Build scalable data models, metadata systems, and data catalogues aligned with business goals Optimise system performance and ensure data accessibility Provide architectural guidance across the full data product lifecycle Collaborate with enterprise architects, solution architects More ❯

Azure services such as Azure SQL Database, Data Factory, Data Lake, Cosmos DB, and more Define the strategic roadmap for cloud platforms and DevOps methodologies Build scalable data models, metadata systems, and data catalogues aligned with business goals Optimise system performance and ensure data accessibility Provide architectural guidance across the full data product lifecycle Collaborate with enterprise architects, solution architects More ❯

data types and formats with agility • Strong documentation and communication skills Bonus Points If You Have: • Experience with ElasticSearch, NiFi, and data mesh principles • Familiarity with data cataloging and metadata management • Background supporting intelligence or national security programs • A bachelor's degree in Computer Science or related field (or equivalent experience) Why QSSHire? We're not your traditional recruiting firm. 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 ❯

and dialogue annotation, tailored for NLP enrichments across communication products. Shape and evolve schematic structures and data models that serve as the foundation for annotation quality and reuse. Define metadata structures and enrichment tags that help interpret communication context, intent, and relevance to user queries. Collaborate with ML engineers and product stakeholders to align annotation efforts with model requirements and More ❯

6+ years of experience with data analytics, data engineering, statistical analysis, or artificial intelligence and machine learning • Experience developing and documenting organizational standards for Data Storage, Data Transformation, and Metadata Management • Ability to work independently with minimal oversight and direction • Bachelor's degree in computer sciences, information systems, engineering, or other related technical discipline. Employees of Agile Defense are our More ❯

responsibilities: • Support development of Artificial Intelligence (AI)/ML based pipelines for data inference. • Apply supervised, unsupervised, and NLP Machine Learning (ML) algorithms for clustering, classification dimensionality reduction, and metadata extraction & content analysis. • Work in cross-functional engineering and product development teams with data at all stages of the analysis lifecycle to derive actionable insight. • Analyze complex datasets, detect trends More ❯