Data Architect - Data, AI & Analytics Transformation

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

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