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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Modeller - **Company:** EXL Service - **Location:** London, UK - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Information Systems, Databases, Data Architecture, Data Governance, Data Integrity, Data Retention, Data Vault Modeling, Data Warehousing, Database Storage Structures, Dimensional Modeling, PostgreSQL, Metadata, Meta-Data Management, Microsoft Visio, Microsoft SQL Server, SQL Azure, Oracle (Applications), PowerDesigner, Reference Data, Cloud Services, Azure Data Lake, SAS (Software), PL-SQL, SQL Databases, Data Streaming, Enterprise Data Management, Enterprise Software Applications, Snowflake, Indexer, Information Technology, Data Lineage, Star Schema, Google Bigquery, Transactional Database, Data Management, Physical Data Models, Azure Synapse Analytics, Amazon Redshift, Databricks - **Published:** August 12, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=dc71536a92f40944 ## About the Role * ER Modelling * Dimensional Modelling * Data Vault 2.0 * Normalization & Denormalization * Master Data Management (MDM) Database Technologies * SQL Server * BigQuery * SAS ProcSQL * Oracle * PostgreSQL * Snowflake * Azure SQL Database Tools * ERwin Data Modeler * ER/Studio * PowerDesigner * Visio * SQL Developer Governance & Metadata * Data Lineage * Data Catalog * Data Quality Frameworks * Metadata Management * Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. * Master's degree preferred.Data Architecture or Cloud certifications are highly desirable. Skills and Personal attributes we would like to have: Preferred Certifications * Microsoft Certified: GCP * Microsoft Azure Solutions Architect Expert * Snowflake SnowPro Certification * Databricks Data Engineer Professional Key Competencies * Enterprise Data Architecture * Stakeholder Management * Strategic Thinking * Problem Solving * Data Governance * Technical Leadership * Communication & Presentation Skills Success Metrics (KPIs) * Reduction in data quality issues. * Compliance with enterprise data standards. * Reusability of enterprise data models. * Improvement in reporting and analytics performance. * Successful implementation of enterprise data architecture initiatives. * User adoption of governed data assets. ## Description We are seeking an experienced Data Modelling Architect to design and govern enterprise-wide data models that support business intelligence, analytics, data warehousing, AI/ML, and operational applications. The ideal candidate will have strong expertise in conceptual, logical, and physical data modelling, data architecture, cloud data platforms, and data governance. The role requires close collaboration with business stakeholders, data engineers, solution architects, analysts, and application teams to ensure scalable, high-quality, and reusable data designs across the organization. As part of your duties, you will be responsible for: Data Architecture & Modelling * Design and maintain Enterprise Data Models (EDM) aligned with business objectives. * Create Conceptual, Logical, and Physical Data Models for enterprise applications and analytics platforms. * Define data standards, naming conventions, and modelling best practices. * Develop dimensional models (Star Schema, Snowflake Schema) for reporting and analytics. * Design operational and transactional database models supporting business applications.Establish master data, reference data, and canonical data models. Data Governance & Quality * Ensure adherence to data governance policies and architectural standards. * Define metadata management, lineage, and data catalog requirements. * Collaborate with governance teams to implement data quality frameworks. * Assess and resolve data integrity, consistency, and duplication issues. Cloud Data Platforms * Architect data models for platforms such as: + Google BigQuery + Azure Synapse Analytics + Azure Data Lake + Snowflake + Databricks + AWS Redshift * Support modern Lakehouse and Data Warehouse architectures. Stakeholder Collaboration * Translate business requirements into scalable data solutions. * Partner with Data Engineers and BI teams during solution design and implementation. * Conduct data architecture reviews and provide technical leadership. * Mentor data modelers and engineering teams. Performance & Optimization * Optimize database structures for scalability and performance. * Design partitioning, indexing, and data retention strategies.Recommend improvements to data architecture and data flow processes. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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