schemas, and migration plans Write SQL and Python code for relational databases (SQL Server, PostgreSQL) Support enterprise geospatial systems and spatial data management Implement and document data quality rules, metadata, and validation processes Collaborate with NPS teams on system design, troubleshooting, and improvement Automate and optimize data workflows and infrastructure Qualifications: BA/BS degree + 2 years of data More ❯
goals Apply governance frameworks and ensure accountability The successful Data Quality Analyst will have: Proficient in BI tools (e.g., Power BI) Familiar with Agile and Waterfall methodologies Experience with metadata management, data catalogues, and stewardship tools Understanding of Master Data Management principles Desirable Proven success in data governance programs Operational and change management experience Ready to help shape the future More ❯
in enterprise data architecture within complex environments Hands-on expertise with Kimball and Data Vault 2.0 methodologies Experience designing models across raw, business, and consumption layers Solid understanding of metadata, cataloguing, and data governance practices Working knowledge of modern data platforms such as Databricks, Azure, Delta Lake, etc. Excellent communication and stakeholder engagement skills Data Architect - Benefits: Competitive base salary More ❯
Liverpool, Merseyside, North West, United Kingdom Hybrid / WFH Options
Ecruit
managers, imaging analysts, and sponsor representatives to align data handling practices with project goals and regulatory expectations. · Maintain data pipelines specific to medical imaging formats (e.g., DICOM), including anonymisation, metadata integrity checks, and format conversions. The Company Founded in 2022, MyCardium AI is a spin-out from University College London. Our aim is to transform healthcare delivery using AI for More ❯
Fort Lauderdale, Florida, United States Hybrid / WFH Options
Vegatron Systems
of data from a wide variety of data sources using SQL and Cloud big data technologies • Building and optimizing big data data pipelines, data sets, data transformation, data structures, metadata, dependency and workload management • Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Non-Essential Duties and Responsibilities More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
in building and embedding data governance frameworks and controls. Hands-on experience with Microsoft data technologies (Azure, Purview). Strong knowledge of data management best practices, including data quality, metadata, and lineage. Practical understanding of regulatory requirements impacting data in financial services. Exceptional stakeholder management and communication skills, with the ability to influence senior business and technology partners. Pragmatic and More ❯
data scripts, installation, configuration, and data integration. Responsibility for discovery, service mapping, configuration management, and event management using MID Servers and best practices. Maintain and update the data dictionary, metadata, and SOPs for data-related tasks, ensuring compliance with DIA security and configuration standards. Collaborate with platform teams to design scalable, efficient data architectures that enable dashboarding, KPI reporting, and More ❯
and security policies, including data encryption and access controls. Monitor data systems' performance and implement improvements to enhance efficiency. Document data engineering processes, create data flow diagrams, and maintain metadata for data lineage and cataloging. Identify stakeholder, customer, and user needs to design new networks and/or improve existing networks. Coordinate with program management personnel to prioritize programmatic and More ❯
AWS Glue, AWS Glue DataBrew, Jupyter Notebooks, Athena, QuickSight, EMR, and Amazon SNS Familiar with work to build processes that support data transformation, workload management, data structures, dependency and metadata Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Experienced in data pipeline builder and data wrangler who enjoys optimizing More ❯
5+ years direct industry knowledge in BI/Digital Reporting. • Expert knowledge of BI solutions and their component tiers: Data Integration/ETL, Data Warehouses/Marts, Business/Metadata layers, Dashboards/Reports, etc. • A diversity of skills and knowledge of federal financial and procurement management best practices, solutions, innovations, standards and configurations across the federal government. • Superior analysis More ❯
Senior IT Systems Solution Architect - Metadata Management/Data Quality Location: Redstone Arsenal, Huntsville, AL Job Title: Senior Information Technology (IT) Systems Solution Architect (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: $94,000 - $97,000 Job Description: The … Senior IT Systems Solution Architect (Metadata Management/Data Quality) serves as the senior subject matter expert associated with content, processes and procedures associated with ERP systems. Defines the detailed requirements, analyzes the business needs, and validates solutions with the client. Details requirements through the product development and other functions to support the project team. Monitors other business analysts in … the project needs. Performs detailed job analysis of business processes and provides an interface between traditional logistical support organizations and functional requirement definitions. The Senior IT Systems Solution Architect (Metadata Management/Data Quality) must demonstrate the following: • Excellent organizational, analytical, written and oral communication skills. • The ability to prioritize and multi-task in a fast-paced environment. • The ability More ❯
Burton-On-Trent, Staffordshire, West Midlands, United Kingdom Hybrid / WFH Options
Reed Technology
and identifying opportunities to drive innovation. What you'll bring Proven experience in data architecture, data modelling, and enterprise data strategy. Strong understanding of data governance, data quality, and metadata management. Experience designing data solutions across operational and analytical systems. Excellent stakeholder engagement and communication skills. A passion for innovation and continuous improvement in the data space. Tech you'll … work with 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 Why This Role? You'll be joining a forward-thinking team where data is central to decision-making and innovation. This is More ❯
knowledge of relational and OLAP modelling principles. Advanced SQL and PL/SQL skills (Oracle 11g/12c or later). Familiarity with data profiling, data quality assessment, and metadata management. Experience identifying and implementing improvements in data warehouse performance, structure, and scalability. More ❯
knowledge of relational and OLAP modelling principles. Advanced SQL and PL/SQL skills (Oracle 11g/12c or later). Familiarity with data profiling, data quality assessment, and metadata management. Experience identifying and implementing improvements in data warehouse performance, structure, and scalability. More ❯
Key-Value pair, and NoSQL Document Store · An understanding of one or more industry models such as IFW, Teradata, FIBO, or BIAN · Knowledge of data product management, data management, metadata management, data lineage management, and data definitions · Proficiency when designing with concepts and regulations such as GDPR, PCI-DSS, PII · A basic understanding of knowledge and/or property graphs More ❯
/PySpark, designing pipelines, embedding CI/CD. Mentorship: Guide and review other engineers' work. Security ownership: Especially around AWS IAM roles and least privilege access. Governance: Data models, metadata, documentation, and standards. Collaboration: Work closely with global colleagues; communicate designs clearly. Requirements AWS data stack, hands on experience: Glue, Airflow/MWAA, Athena, Redshift, RDS, S3. Strong coding skills More ❯
high-impact, and mission-aligned role-this opportunity is for you. RESPONSIBILITIES Develop and implement data governance strategies across enterprise systems Lead efforts in data integration, quality assurance, and metadata management Define and enforce policies for data access, lineage, and lifecycle management Collaborate with cybersecurity and cloud teams to ensure secure data sharing and storage Support development of enterprise data More ❯
working knowledge of Python, R, or similar scripting tools is a plus Familiarity with data visualization platforms (e.g., Tableau, Power BI, Qlik) Strong understanding of data validation, normalization, and metadata tagging in support of operational reporting Willing to travel within the supported Combatant Command's area of responsibility Preferred Qualifications: Experience supporting a Combatant Command or Joint Task Force within More ❯
multiple stakeholders and integrations. You have experience architecting and providing technical leadership for data integration initiatives within the DoD or Intelligence Community involving concepts such as object-based exchange, metadata, tagging, etc. aligned with IC standards. Expert proficiency in AWS with a deep understanding of cloud services at IL6+. Strong experience with integrating with enterprise ICAM solutions for authentication and More ❯
Secure Data Environment or similar trusted research environment. Experience integrating NHS commissioning data with research datasets. Knowledge of ISO27001, DSPT, and/or other information security frameworks. Experience with metadata management tools and data cataloguing platforms. Skills Essential - Proficiency with Relational Database Management Systems (RDBMS) and SQL. Experience in data cleaning, transformation, and validation of large-scale NHS datasets. Scripting More ❯
Technical Product Manager - Metadata Platform Infrastructure Location New York Business Area Engineering and CTO Ref # Description & Requirements Who we are/The Team The Metadata Strategy team, part of Bloomberg's CTO Office, defines and delivers the long-term strategy for how semantic data and metadata are structured, managed, and leveraged across the company. Our mission is to build … scalable, intelligent systems that make data more meaningful, discoverable, and interoperable across Bloomberg's diverse products and platforms. Bloomberg's Metadata Platform is a state-of-the-art system that empowers the creation, management, governance, and distribution of semantic models and metadata across the enterprise. It provides robust capabilities for model-driven metadata enrichment and intelligent distribution pipelines, serving as … a foundational layer for knowledge representation and interoperability within Bloomberg's vast and complex data ecosystem. As a centralized infrastructure, the platform ensures consistency, alignment, and semantic integrity of metadata across all lines of business, internal platforms and a wide array of client-facing workflows. By linking disparate data silos across domains, it unlocks cross-domain querying, advanced analytics, and More ❯
Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework ( Batch/Micro Batch processing ) Data Contract & Data management( including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯
programme. Key Requirements: Proven experience as a Data Engineer, within Healthcare Proficiency in Azure Data Factory, Azure Synapse, Snowflake, and SQL. Strong Python skills, including experience with PySpark and metadata-driven frameworks. Familiarity with cloud platforms (Azure preferred), pipelines, and production code. Solid understanding of relational databases and data modelling (3NF & dimensional). Strong communication skills and ability to work More ❯
provide functional and technical expertise to support enterprise performance management activities including Planning, Budgeting, Forecasting , and Financial Reporting . Key responsibilities include: Administration and support of Oracle EPBCS applications (metadata updates, data loads, security provisioning, etc.) Troubleshooting and developing EPM Reports and Smart View templates Identifying and resolving discrepancies between EPM reports and source financial systems Managing EPM Automate Maintaining More ❯
