and analytics. Data Modelling & Design: Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and metadata management processes. Ensure data consistency, integrity, and quality across the platform. Data Integration & Pipelines: Define data integration patterns and establish robust data pipelines for ingesting, transforming, and loading data from … financial markets is highly desirable. Excellent communication, interpersonal, and presentation skills. Strong analytical and problem-solving skills. Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with metadata management tools e.g. Purview. Knowledge of data science and machine learning concepts. Experience with API design and development. #J-18808-Ljbffr More ❯
also take a lead role in delivering our analytical data into the NHS National Data Analytics Platform. By building robust data platforms, pipelines, and catalogues and by defining the metadata, models and schema that underpin our data decision-making, you'll be right at the heart of modernising and improving the way we do things. You'll be working collaboratively … for-us/applicant-information-and-guidance/Job description Job responsibilities Accountabilities Your accountabilities will include but not limited to: Define and implement enterprise data models, pipelines, and metadata management Develop and maintain data platform components (e.g. data catalogue, data lake, warehouse, ETL frameworks) Ensure data security, compliance, and the ethical use of data in accordance with standards and More ❯
managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best practices for More ❯
Design and build robust data pipelines with Cloud Composer, Dataproc, Dataflow, Informatica, or IBM DataStage, supporting both batch and streaming data ingestion. Data Governance & Quality: Implement data governance frameworks, metadata management, and data quality controls using Unity Catalog, Profisee, Alation, DQ Pro, or similar platforms. Client Engagement & Advisory: Act as a trusted advisor to clients’ senior leadership (CDOs, CIOs, Heads More ❯
BAs to design semantic models and logical data layers to support trusted reporting and analytics. Recommend standards for master data and reference data governance. Support adoption of federated governance, metadata management, and lineage tooling Support the development and implementation of a "data passport" model - a metadata construct that travels with datasets across the estate, capturing critical attributes such as ownership … trusted reporting and analytics. Establish integration patterns between customer platforms and back-office systems (e.g. Finance, HR, CRM). Recommend standards for data modelling, master/reference data, and metadata governance. Collaborate with engineering, product, and commercial leaders to align architecture with business needs. Evaluate third-party APIs and reverse-engineer live system data models as needed. Author agile stories More ❯
capabilities, making use of the Microsoft Stack (SQL Server, SSMS, SSIS & SSRS), Power BI and Azure DevOps. By building robust data platforms, pipelines, and catalogues and by defining the metadata, models and schema that underpin our data decision-making, you'll be right at the heart of modernising and improving the way we do things. Accountabilities Implement enterprise data models … pipelines, and metadata management Develop and maintain data platform components (e.g. data catalogue, data lake, warehouse, ETL frameworks) Follow best practice in data security, compliance, and the ethical use of data in accordance with standards and requirements such as GDPR and Cyber Essentials Plus Implement robust data ingestion and integration frameworks that ensure data consistency, accuracy, and timeliness across our … tasks. Advanced database manipulation and administration skills, particularly T-SQL, Azure SQL, as well as capacity with unstructured and unlinked data management languages. Experience using and implementing schema and metadata design (e.g., star schema, snowflake, normal forms), with strong understanding of master and reference data management. Experience working with Azure/GCP building and managing data solutions such as data More ❯
that any area within the firm working for or on behalf of Walkers follows these. As part of this, the role holder will be responsible for embedding data quality, metadata and compliance requirements into reference architecture and associated standards, patterns and principles. Expected to be a key decision maker within Walkers' data governance board, the role holder will work alongside … low-level/detailed design guidance. Architect data-orientated solutions across multi-cloud and on-prem environments. This would include solutions for data lake-houses, master data management and metadata management. Design and maintain enterprise data models (conceptual, logical and physical) across transactional, analytical and operational systems. Establish reference architecture for data ingestion, transformation, storage and consumption. Support initiatives from … Storage and Azure Blob Storage Microsoft Fabric Azure Purview for data governance among others. Proven experience in designing, implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience of integrating 3rd party platforms like Profisee, Semarchy, CluedIn and/or Reltio with Azure Purview and other Azure-native data-services. Good understanding of cloud networking architecture More ❯
solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organizational policies and regulatory requirements. Optimize data products and their components for performance, scalability, and reliability. Evaluate and recommend data … tools like GitHub Actions or similar. AWS certifications such as AWS Certified Data Engineer. Knowledge of Snowflake, SQL, Apache Airflow, and DBT. Familiarity with Atlan for data cataloging and metadata management. Understanding of iceberg tables. Who we are: We're a global business empowering local teams with exciting work that is making a difference. Our portfolio includes consulting, applications, business More ❯
solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organizational policies and regulatory requirements. Optimize data products and their components for performance, scalability, and reliability. Evaluate and recommend data … tools like GitHub Actions or similar. AWS certifications such as AWS Certified Data Engineer. Knowledge of Snowflake, SQL, Apache Airflow, and DBT. Familiarity with Atlan for data cataloging and metadata management. Understanding of iceberg tables. Who we are: We’re a global business empowering local teams with exciting work that is making a difference. Our portfolio includes consulting, applications, business More ❯
that any area within the firm working for or on behalf of Walkers follows these. As part of this, the role holder will be responsible for embedding data quality, metadata and compliance requirements into reference architecture and associated standards, patterns and principles. Expected to be a key decision maker within Walkers' data governance board, the role holder will work alongside … low-level/detailed design guidance. Architect data-orientated solutions across multi-cloud and on-prem environments. This would include solutions for data lake-houses, master data management and metadata management. Design and maintain enterprise data models (conceptual, logical and physical) across transactional, analytical and operational systems. Establish reference architecture for data ingestion, transformation, storage and consumption. Support initiatives from … Storage and Azure Blob Storage Microsoft Fabric Azure Purview for data governance among others. Proven experience in designing, implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience of integrating 3rd party platforms like Profisee, Semarchy, CluedIn and/or Reltio with Azure Purview and other Azure-native data-services. Good understanding of cloud networking architecture More ❯
solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend data … modelling. Experience with CI/CD GITHUB Actions (or similar) Knowledge of Snowflake/SQL Knowledge of Apache Airflow Knowledge of DBT Familiarity with Atlan for data catalog and metadata management Understanding of iceberg tables Who we are: We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing More ❯
covering modelling, database strategy, data flows, and integration patterns. Guide data governance, retention, and compliance practices (e.g., GDPR, ISO standards). Technical Design & Development Oversight Define storage, publishing, and metadata strategies to support analytics and operational goals. Shape database schemas, data warehouse strategies, and ensure data platforms are fit-for-purpose. Work with business analysts, engineers, delivery leads, and client 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 synchronize and More ❯
technologies Troubleshooting and resolving data-related issues. Architect scalable data solutions to support advanced analytics, machine learning, and real-time processing needs. Design and implement data governance frameworks, including metadata management, lineage tracking, and cataloging. Ensuring data quality and reliability; ensuring data security and compliance, including GDPR. Document data engineering standards, design decisions, and infrastructure setup for operational transparency. Collaborating More ❯
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 … 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 communication, stakeholder More ❯
Nottingham, Nottinghamshire, East Midlands, United Kingdom
In Technology Group Limited
data quality, integrity and compliance with governance policies and regulatory standards Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security Develop and maintain data lineage, metadata and architecture documentation Support reporting and analytics initiatives by ensuring data availability and consistency across systems Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯
the overall data and technology strategy. • Defining Data Architecture Principles and Standards: Establishing clear guidelines, standards, and best practices for data modelling, data integration, data security, data quality, and metadata management. • Creating and Maintaining Data Architecture roadmaps: Designing high-level conceptual, logical, and physical data models and architectures that align with business needs and technology capabilities. • Providing Architectural Guidance and More ❯
conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯
conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Capgemini
conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯
with evolving data governance standards. Key Responsibilities Architect Scalable Data Solutions: Design and implement efficient data models and database architectures to support current and future business needs. Develop Documentation & Metadata Standards: Maintain clear and up-to-date architectural documentation, including metadata definitions and data lineage diagrams. Establish Data Standards & Best Practices: Define and enforce data architecture principles, governance policies, and … Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to explain complex More ❯
with evolving data governance standards. Key Responsibilities Architect Scalable Data Solutions: Design and implement efficient data models and database architectures to support current and future business needs. Develop Documentation & Metadata Standards: Maintain clear and up-to-date architectural documentation, including metadata definitions and data lineage diagrams. Establish Data Standards & Best Practices: Define and enforce data architecture principles, governance policies, and … Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to explain complex More ❯
regulatory reporting. Build both real-time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. Establish clear data quality metrics More ❯
expertise. They offer a structured and professional environment, providing employees with opportunities to contribute to impactful projects in a collaborative setting. Description Deep expertise in data governance, data quality, metadata management, profiling, analysis, and related data management tools. Lead the implementation of data governance across Risk and Finance domains, ensuring alignment with BCBS239 regulatory standards. Accountable for end-to-end 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 synchronize and More ❯
