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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - Data, AI & Analytics Transformation - **Company:** Tenth Revolution Group - **Location:** London, UK - **Experience:** Expert - **Salary:** £117,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Business Analytics Applications, Data Analysis, Architectural Patterns, ARM Architecture, Big Data, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Transformation, Data Security, Graph Database, Identity and Access Management, Machine Learning, Meta-Data Management, OpenAI, Data Mesh, DataOps, Azure Machine Learning, Enterprise Data Management, Feature Store, Cloud Platform System, Data Ingestion, Snowflake, Informatica Cloud, AgentCore, Electronic Medical Records, Generative AI, Agentic-AI, Data Strategy, Event Driven Architecture, Data Lakes, Data Lineage, Collibra, Data Analytics, Data Management, Machine Learning Operations, Data Lakehouse, Claude, Model Registry, Graph RAG, Databricks - **Published:** November 2, 2026 - **Apply:** https://www.reed.co.uk/jobs/data-architect-data-ai-analytics-transformation/57512937 ## About the Role The successful candidate will combine deep technical expertise with strong stakeholder engagement skills and the ability to translate business objectives into scalable data solutions., * Significant experience as a Data Architect, Enterprise Data Architect, or Solution Architect within large-scale data environments. * Strong expertise designing modern cloud data platforms using AWS and Snowflake. * Experience delivering data lake, lakehouse, and advanced analytics architectures. * Deep understanding of data governance, metadata management, lineage, and observability. * Knowledge of AI/ML platform architectures and emerging GenAI capabilities. * Experience defining enterprise data standards, principles, and operating models. * Strong stakeholder management skills with the ability to engage technical and non-technical audiences. * Experience operating within complex, matrixed organisations. Pharmaceutical Experience Experience supporting one or more of the following areas is highly desirable: * Drug Discovery * Clinical Development * Regulatory Affairs * Manufacturing * Supply Chain * Commercial Operations * Post-Market Surveillance Personal Attributes * Strategic thinker with strong architectural leadership capabilities. * Able to balance long-term vision with practical delivery. * Excellent communicator who can translate technical concepts into business outcomes. * Comfortable challenging existing approaches and driving innovation. * Collaborative and influential, with the ability to break down organisational silos. * Passionate about emerging data and AI technologies. Skills * Snowflake * AWS * dbt * Apache Airflow * Data Architecture * Data Governance * Databricks * AI & Machine Learning * Pharmaceutical Data Platforms * Enterprise Data Transformation ## Description This is a highly visible position sitting at the intersection of business strategy, architecture, data engineering, analytics, and AI. You'll be responsible for defining data architecture standards, designing future-state platforms, and ensuring the organisation is ready to leverage advanced analytics, machine learning, and Generative AI at scale., * Define and govern enterprise data architecture strategy and target-state roadmaps. * Design scalable cloud-based data platforms leveraging AWS and Snowflake technologies. * Lead architecture decisions across data ingestion, transformation, governance, analytics, AI, and GenAI initiatives. * Establish architectural patterns supporting Data Mesh, Data Lakehouse, Semantic Layer, Knowledge Graph, and Streaming architectures. * Drive data readiness initiatives to support AI and Generative AI adoption. * Partner with business and technology stakeholders across the pharmaceutical value chain. * Define governance, security, lineage, metadata, and data quality standards. * Support delivery teams in implementing modern data engineering and analytics solutions. * Provide architectural oversight across multiple concurrent transformation programmes. * Act as a trusted advisor to senior leadership on data strategy, platform investments, and emerging technologies. Technical EnvironmentCloud & Data Platforms * AWS (S3, EC2, IAM, EMR) * Snowflake * Snowpark * Iceberg Tables * Secure Data Sharing * Snowflake Cortex Data Integration * Fivetran * SnapLogic * Enterprise SaaS integration patterns Data Transformation & Orchestration * dbt Cloud / dbt Core * Apache Airflow (MWAA) * CI/CD pipelines * Event-driven orchestration Data Governance & Observability * Collibra * Data Catalogue * Data Lineage * Data Governance Frameworks * Acceldata * Data Observability * Data Quality Monitoring AI, Machine Learning & Advanced Analytics * Databricks * MLflow * Model Registry * Feature Stores * MLOps Frameworks * Advanced Analytics Cognitive Search & GenAI * Sinequa * Knowledge Graphs * GraphRAG * Hybrid Search * NLP Solutions * AWS Bedrock AgentCore * LangChain * OpenAI & Claude Agent Frameworks