Data Architect

Key Responsibilities

• Define and own the target-state data architecture.
• Design end-to-end solutions across data ingestion, transformation, storage, modelling and consumption.
• Establish architecture standards, design principles and best practices.
• Lead architecture governance and review forums.
• Work closely with engineering teams to ensure successful implementation of architectural designs.
• Drive migration from legacy data platforms to modern cloud-based solutions.
• Provide technical leadership across data architecture, data modelling and platform design.
• Align architectural decisions with business objectives, governance requirements and strategic roadmaps.

Essential Experience

• Data Architecture
• Extensive experience designing and delivering enterprise-scale data architectures.
• Strong understanding of modern cloud data platform design patterns.
• Experience defining target-state architecture and transition roadmaps.
• Proven ability to lead architecture discussions with senior business and technical stakeholders.
• Databricks Delta Lake Unity Catalog Medallion Architecture
• Data Engineering & Cloud Technologies
• dbt
• AWS S3 Glue Airflow
• Data Modelling
• Data Vault Kimball
• Data Modernisation
• Experience delivering migrations from one or more of the following legacy technologies: Teradata Hadoop Oracle SAS

Preferred Experience

• Financial Services, Banking, or other highly regulated environments.
• Enterprise data transformation programmes.
• Modern data governance and metadata management practices.
• Short-notice availability.

Skills & Attributes

• Excellent stakeholder management and communication skills.
• Ability to challenge and influence senior technical and business audiences.
• Strong problem-solving and decision-making capabilities.
• Comfortable operating in complex, fast-paced transformation environments.
• Hands-on approach with the ability to bridge architecture and delivery teams.