51 to 75 of 386 Permanent Metadata Jobs

with business and IT teams to ensure alignment with data governance objectives. Conduct regular audits and assessments to ensure compliance with internal policies and external regulations. Provide guidance on metadata management, data lineage, and master data management practices. Monitor and report on key data governance metrics to senior management. Educate and train stakeholders on best practices for data governance and More ❯

design * Experience with cloud data platforms with Microsoft Fabric as the preferred option * Experience with modern data warehousing * Strong data modelling skills across relational and NoSQL * Experience with governance, metadata, master data and integration including ETL ELT and API based approaches NO SPONSORSHIP can be offered for this role. if that sounds of interest to you then please apply, or More ❯

design * Experience with cloud data platforms with Microsoft Fabric as the preferred option * Experience with modern data warehousing * Strong data modelling skills across relational and NoSQL * Experience with governance, metadata, master data and integration including ETL ELT and API based approaches NO SPONSORSHIP can be offered for this role. if that sounds of interest to you then please apply, or More ❯

Purview) What You'll Do Lead the greenfield implementation of Purview and support migration to Microsoft Fabric . Develop and deliver a Data Management roadmap , introducing capabilities such as Metadata Management, Data Lineage, Business Glossaries, and Data Dictionaries. Champion Data Ownership and Stewardship communities and drive a Data Literacy programme . Collaborate with IT, compliance, and business teams to ensure More ❯

in a collaborative, forward-thinking environment. Your new role Define and implement the data engineering strategy aligned with business and technology goals. Lead development of data ingestion, quality, and metadata pipelines powering SAM's supervisory tools. Deliver scalable, secure, and production-ready data platforms using Azure and Databricks. Collaborate across Technology and DAT to integrate SAM solutions into the organisations More ❯

SQL across a full Medallion Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains More ❯

SQL across a full Medallion Architecture (Bronze Silver Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains More ❯

provide technical advice to the Project Manager to develop project plan. • Coordinate with data stewards to develop, communicate, and enforce Data Classification policies and standards. • Create and maintain the metadata repository. Including developing and maintaining a formal description of the data, data structures, and data flow diagrams. • Create, maintain, and verify system level design. • Define and enforce data standards, procedures More ❯

PPC campaigns across Google Ads, and other key platforms. Manage advanced tracking setups using Google Tag Manager, server-side tagging, and conversion API, including orchestration of identifiers and campaign metadata all the way through to marketing and sales systems. Troubleshoot technical issues related to attribution, feeds, and tracking discrepancies. Collaborate with the Go To Market teams, on event, topic, and More ❯

PPC campaigns across Google Ads, and other key platforms. Manage advanced tracking setups using Google Tag Manager, server-side tagging, and conversion API, including orchestration of identifiers and campaign metadata all the way through to marketing and sales systems. Troubleshoot technical issues related to attribution, feeds, and tracking discrepancies. Collaborate with the Go To Market teams, on event, topic, and More ❯

leader in enterprise AI-powered cloud data management. Informatica helps organizations connect, manage, and unify their AI-ready data through its data catalog, data integration, governance, quality and privacy, metadata management, and Master Data Management (MDM) capabilities. Informatica continues to support and integrate with a broad ecosystem of partners while helping customers unlock the full value of their data and More ❯

maintain, and own data product roadmaps, leading the ongoing delivery and management of the product from inception to maturity. Manage master data products through their lifecycle, including owning business metadata and metrics. Engage and collaborate with partners and collaborators to gather input and communicate plans, timelines, and deliveries. Act as a key point of contact for stakeholders and business leaders More ❯

maintain, and own data product roadmaps, leading the ongoing delivery and management of the product from inception to maturity. Manage master data products through their lifecycle, including owning business metadata and metrics. Engage and collaborate with partners and collaborators to gather input and communicate plans, timelines, and deliveries. Act as a key point of contact for stakeholders and business leaders More ❯

architecture strategies and roadmaps. Design and establish data models, data standards, and best practices for enterprise applications and analytical solutions. Develop architecture frameworks for data integration, master data management, metadata management, and data quality improvement. Define and optimize data pipelines, storage solutions, and data workflows across cloud and on-prem environments. Evaluate new technologies, tools, and platforms and recommend solutions … Redshift, BigQuery, Synapse, or Teradata. Skilled in ETL/ELT tools and data pipeline technologies such as Informatica, Talend, Databricks, or Apache tools. Strong understanding of data governance, MDM, metadata management, and data quality management. Ability to architect scalable data and analytics environments for real-time and batch processing. Background working with BI/reporting and analytics platform technologies. Excellent More ❯

data integration patterns. Architect and optimize scalable data pipelines using modern ETL/ELT tools and cloud-native services. Establish strong data governance practices covering data quality, security, lineage, metadata, and compliance. Collaborate with business stakeholders, solution architects, and development teams to convert business requirements into technical designs. Design logical and physical data models to support analytics, BI, ML, and … Vault), and schema design for analytical and transactional systems. Experience designing scalable batch and streaming pipelines (Kafka, Pub/Sub, Kinesis, Spark Streaming). Solid understanding of data governance, metadata management, lineage, master data concepts, and security. Strong knowledge of Python or Java for ETL automation and data processing. Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow, Cloud Composer). More ❯

Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics enablement. Familiarity with modern … initiatives, including the DDF program. Data Platform Optimization: Work closely with AOE data teams and PNE analytics teams to optimize the data infrastructure, ensuring performance, scalability, and cost efficiency. Metadata & Asset Management: Drive consistent metadata management and data asset governance, ensuring data reliability, accessibility, and standardization across PNE. Enablement & Best Practices: Educate and support the PNE teams in data stewardship More ❯

Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics enablement. Familiarity with modern … initiatives, including the DDF program. Data Platform Optimization: Work closely with AOE data teams and PNE analytics teams to optimize the data infrastructure, ensuring performance, scalability, and cost efficiency. Metadata & Asset Management: Drive consistent metadata management and data asset governance, ensuring data reliability, accessibility, and standardization across PNE. Enablement & Best Practices: Educate and support the PNE teams in data stewardship More ❯

Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics enablement. Familiarity with modern … initiatives, including the DDF program. Data Platform Optimization: Work closely with AOE data teams and PNE analytics teams to optimize the data infrastructure, ensuring performance, scalability, and cost efficiency. Metadata & Asset Management: Drive consistent metadata management and data asset governance, ensuring data reliability, accessibility, and standardization across PNE. Enablement & Best Practices: Educate and support the PNE teams in data stewardship More ❯

years of experience with IBM TRIRIGA, including data migration or integration roles. Strong understanding of TRIRIGA data model, modules (Real Estate, Lease, Space, Facilities, Operations, Capital Projects, etc.), and metadata structure. Experience using TRIRIGA Object Migration (OM), Data Integrator, Integration Objects, and other TRIRIGA integration tools. Expertise in SQL, relational databases (DB2/Oracle/SQL Server), ETL tools, and More ❯

standards that underpin critical business decisions and regulatory compliance. What you’ll bring: Experience in data governance, MDM, or reference data management. Strong understanding of data quality, lineage, and metadata concepts. Hands-on skills in SQL and data analysis. Excellent communication and stakeholder engagement abilities. Nice-to-have: Familiarity with MDM and data catalogue tools. Exposure to financial services or More ❯

in ML operations. Experience with Amazon Bedrock for leveraging and managing foundation models in generative AI applications. Knowledge of database services like Amazon RDS or Amazon DynamoDB for storing metadata, features, or serving model predictions where applicable. Hands-on experience with implementing monitoring, logging, and alerting mechanisms using AWS CloudWatch. Experience with AWS container services like EKS (Elastic Kubernetes Service More ❯

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 ❯

including conceptual, logical, and physical model development. Proven expertise in: Data profiling, analysis, and optimization. Canonical models, DaaS, SOA, and system integrations. Master Data Management (MDM) tools and practices. Metadata management and governance. Enforcing data standards and reconciliation rules. Capacity planning and lifecycle management. Strong technical skills in SQL and experience with programming languages such asPython, R, or Scala. Hands More ❯

and AI to support proactive and informed decision making. • Promote data product thinking by designing reusable, modular data assets that serve cross functional business needs and accelerate delivery. • Drive metadata management and data lineage practices to improve data discoverability, trust and compliance. • Tailor analytical approaches to the care sector's specific needs, including safeguarding, compliance, operational efficiency and people's More ❯

and Exchange Information/Data Security, Governance, Management & Compliance including Data Privacy, Data Lifecycle Management, Legislation, Disaster Recover and Backup Data Architecture Design - Data Modelling, Master Data Management (MDM), Metadata Management and Data Governance API Management - Experience designing and implementing APIs (REST/JSON, SOAP/XML, GraphQL), including API lifecycle management, API gateways, HTTP transport and security such as More ❯