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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Architect - **Company:** Shivom Consultancy Ltd - **Location:** Brentford, UK (Remote available) - **Experience:** Expert - **Salary:** £80,000.0 - £90,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Legacy Database, Application Programming Interfaces (APIs), Data Analysis, Application Performance Management, Audit Trail, Automation of Tests, Microsoft Azure, Backup Devices, Cloud Database, Cyber Security, Databases, Continuous Integration, Data as a Services, Data Architecture, Scientific Data Archiving, Data Validation, Data Dictionary, Data Governance, Data Integration, Data Integrity, Data Mapping, Data Masking, Data Transformation, Data Migration, Data Profiling, Data Retention, Data Security, Data Sharing, Data Synchronization, Relational Databases, Database Connection, Database Development, Entity Relationship Models, Data Flow Control, Github, Key Management, PostgreSQL, Log Analysis, Enterprise Messaging Systems, Metadata, Meta-Data Management, Microsoft SQL Server, SQL Azure, Operational Data Store, Operational Databases, Oracle Databases, Oracle (Applications), Role-Based Access Control, Redis, Power BI, Azure Active Directory, Cloud Services, Migration Manager, Distributed Caching, Data Streaming, Transaction Data, Management of Software Versions, Web Platforms, Enterprise Data Management, Privacy Controls, Azure Service Bus, Data Processing, Data Classification, Grafana, Database Performance, Technical Debt, Togaf, SC Clearance, Data Lineage, Bicep, Data Management, Tools for Reporting, Restful APIs, Terraform, Software Version Control, Dynatrace, Api Management, Serverless Computing, Legacy Systems - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9e8bbd8a03927afb ## About the Role * Significant experience as a Data Architect, Senior Data Architect, Solution Architect with a strong data specialism, or equivalent senior architecture role. * Experience working across complex enterprise data estates. * Strong conceptual, logical and physical data modelling skills. * Experience defining target and transition data architectures. * Strong relational database architecture experience. * Experience with PostgreSQL, Microsoft SQL Server, Azure SQL, Oracle or comparable enterprise databases. * Strong understanding of operational and transactional data architecture. * Experience defining data ownership, domain boundaries and systems of record. * Experience designing data architecture across multiple applications or product teams. * Experience supporting reporting, management information and analytical services. * Strong understanding of REST APIs, messaging, event-driven and batch integration patterns. * Experience architecting migrations between legacy and modern platforms. * Experience planning coexistence between old and new data services during phased migrations. * Understanding of migration reconciliation, validation, cutover and assurance. * Strong understanding of data quality management. * Understanding of metadata, lineage, traceability and data governance. * Experience defining data retention, archiving and disposal requirements. * Strong understanding of information security, privacy and data protection. * Experience defining data access and authorisation approaches. * Experience designing resilient and highly available data services. * Understanding of database performance, scalability, backup and operational support. * Experience producing architecture artefacts such as data models, data-flow diagrams, roadmaps, options assessments and architecture decisions. * Experience working within technical governance and architecture assurance processes. * Experience working across multiple engineering teams and suppliers. * Strong stakeholder management and communication skills. * Ability to explain complex data architecture to both technical and non-technical stakeholders. * Ability to make pragmatic architecture decisions balancing strategic direction, data integrity, operational constraints and delivery requirements. Data Modelling & Governance ## Description Shivom Consultancy Ltd is looking for experienced Senior Data Architects to join our growing Architecture Practice. You will provide architecture leadership across complex data estates spanning modern digital platforms, cloud services, operational databases, reporting services and long-lived legacy systems. The role focuses on how organisations structure, own, integrate, migrate, govern and use data across multiple applications, products and business services. You will help define clear data architecture direction, improve data quality and consistency, establish appropriate ownership and boundaries, support legacy modernisation and enable secure and reliable information sharing. We are recruiting multiple Senior Data Architects and welcome candidates with complementary strengths across areas including: * Enterprise and domain data architecture * Operational and transactional data * Conceptual, logical and physical data modelling * PostgreSQL, Azure SQL and Microsoft SQL Server * Oracle and legacy data platforms * Data migration and modernisation * Data integration and information exchange * Reporting and information services * Data governance, quality, metadata and lineage * Cloud data architecture Candidates are not expected to be specialists in every area. You will work closely with Enterprise Architects, Solution Architects, Data Engineers, Integration Architects, application teams, cloud specialists, cyber security teams, product teams and technology suppliers, supporting major UK public sector and enterprise transformation programmes., As a Senior Data Architect, you will: * Lead data architecture across complex digital platforms, products and business services. * Define current, target and transition data architectures. * Develop enterprise, domain and solution-level data architecture. * Create conceptual, logical and physical data models. * Establish clear data ownership, stewardship and system-of-record principles. * Define appropriate boundaries between application, shared, operational and analytical data. * Design data architectures that support multiple products and services while avoiding unnecessary coupling. * Define data flows across applications, APIs, messaging platforms, databases and information services. * Develop data architecture roadmaps covering modernisation, migration, consolidation and technical debt. * Assess existing databases and data services to identify opportunities for simplification and rationalisation. * Define migration strategies from legacy databases and applications to modern platforms. * Architect data coexistence during phased transformation and migration. * Define reconciliation, validation and migration assurance approaches. * Protect data integrity throughout migration and service transition. * Define appropriate data retention, archival and disposal approaches. * Support modernisation of long-lived relational database estates. * Define architecture for operational data, reporting, management information and downstream analytics. * Improve data quality, consistency and accessibility across organisational and product boundaries. * Define approaches for master, reference and shared data. * Establish metadata, lineage and traceability requirements. * Support secure information exchange between internal systems and external organisations. * Define data security, privacy, access control and audit requirements. * Define resilience, availability, recovery, scalability and performance requirements for data services. * Work with Integration Architects on API, messaging, event-driven and batch integration patterns. * Work with Application Architects to align data ownership and persistence decisions with application boundaries. * Translate data architecture into practical, implementable designs with engineering teams. * Review data models, schemas, migration approaches and technology choices. * Identify architectural risks, dependencies and technical debt. * Present architecture decisions through technical governance and design authority forums. * Support proofs of concept, technology evaluations and migration feasibility exercises. * Promote automation, repeatable engineering and auditable change across data platforms. * Contribute to architecture peer reviews and continuous improvement., Strong data modelling capability is important for this role. You should be comfortable with: * Conceptual, logical and physical data models * Domain and entity-relationship modelling * Relational modelling * Normalisation and denormalisation * Schema design * Data dictionaries * Reference and master data * Data classification * Data contracts * Business definitions * Data ownership and stewardship * Systems of record * Metadata management * Data catalogues * Data lineage and traceability * Data standards * Privacy by design You should use modelling to clarify business meaning, ownership, relationships and architectural boundaries rather than producing models purely as documentation. Data Migration & Legacy Modernisation Experience or understanding of the following is important: * Legacy database assessment and data profiling * Migration strategy and source-to-target mapping * Data transformation and cleansing * Data quality remediation * Incremental, bulk and delta migrations * Data synchronisation and dual running * Reconciliation and validation * Cutover and rollback planning * Data archiving and retention * Legacy platform decommissioning * Protecting data integrity and business continuity throughout migration Technology Experience Candidates do not need deep expertise in every technology listed below. Relevant experience may include: Databases & Data Platforms * PostgreSQL * Azure Database for PostgreSQL * Azure SQL * Microsoft SQL Server * Oracle Database * Redis * Managed cloud databases * Legacy relational database platforms Microsoft Azure * Microsoft Azure * Azure Storage * Azure Functions * Azure Service Bus * Azure API Management * Microsoft Entra ID * Managed Identities * Azure Key Vault * Azure Monitor * Log Analytics * Application Insights Data & Information Services * Operational data stores * Reporting databases * Data integration services * Reference and master data * Data catalogues * Metadata and lineage tooling * Data quality tooling * Power BI or comparable reporting technologies * Power Platform and Dataverse Engineering & Automation * Azure DevOps * GitHub * Source control and CI/CD * Database change management * Schema versioning * Automated database deployment * Infrastructure as Code * Terraform or Bicep * Automated testing and data validation * Migration automation Monitoring * Azure Monitor * Application Insights * Log Analytics * Dynatrace * Grafana * Database and query performance monitoring * Capacity, replication and backup monitoring * Operational dashboards and alerting Experience with other cloud or enterprise data technologies is also relevant where the underlying architecture skills are transferable. Security & Data Protection You should understand how to incorporate security and privacy into data architecture, including: * Data classification and sensitive data handling * Personal data protection * Encryption at rest and in transit * Role-Based Access Control (RBAC) * Least privilege * Managed identities * Secrets and key management * Database access controls * Data masking * Audit logging * Retention and secure disposal * Privacy by design * Data minimisation * Secure information sharing You will work alongside cyber security and privacy specialists where deeper specialist assurance is required. Desirable Experience Experience in one or more of the following would be advantageous: * Large-scale enterprise data architecture * Complex transactional digital services * PostgreSQL and Azure Database for PostgreSQL * Azure SQL * Oracle database estates * Redis or distributed caching * Complex data migration programmes * Migration from legacy relational databases to cloud-managed databases * Data quality improvement programmes * Master or reference data architecture * Data governance and stewardship * Metadata management, data catalogues and lineage * Operational reporting and management information * Enterprise information sharing * API and event-driven integration * Power Platform or Dataverse * Azure cloud architecture * Azure DevOps or GitHub * Infrastructure as Code * UK central government or other regulated public sector environments * Large-scale or business-critical digital services * Sensitive or regulated information * Complex multi-supplier delivery environments * Existing SC security clearance Relevant certifications such as Microsoft Azure Data/Architecture, DAMA/CDMP or TOGAF are desirable but not mandatory where equivalent practical experience can be demonstrated. What Success Looks Like You will be successful in this role when you can: * Understand complex data estates quickly. * Establish clear data ownership and authoritative sources. * Produce practical data models and sustainable architecture. * Define appropriate boundaries between applications, services and data. * Improve data quality and consistency. * Reduce unnecessary duplication and coupling. * Define secure, reusable information exchange patterns. * Develop realistic legacy migration and modernisation strategies. * Protect data integrity throughout transformation. * Support reporting and analytics without compromising operational services. * Build security, resilience and operational support into architecture. * Produce architecture that engineering teams can practically implement. * Work effectively across application, integration, cloud, security and engineering teams. * Communicate architecture decisions clearly to senior stakeholders. * Influence multiple delivery teams and build trusted working relationships. Security Clearance Applicants must either hold current Security Check (SC) clearance or be eligible to obtain SC clearance. Candidates without existing SC clearance must be willing to complete the required security vetting process as a condition of appointment. Successful candidates will be expected to work in accordance with applicable client and government security policies when undertaking assignments involving sensitive information or systems. Working Arrangements This is a UK-based hybrid role. You should be comfortable working remotely while also attending Shivom offices, client locations and other UK sites where collaboration, delivery activities or security requirements make in-person attendance appropriate. The frequency of on-site attendance may vary depending on the nature and stage of individual assignments.