Senior Data Architect

Key Responsibilities:

• Lead enterprise data architecture across data ingestion, storage, processing, integration, analytics and consumption.
• Define current-state, target-state and transition architectures for enterprise data platforms.
• Establish scalable architecture patterns for cloud, hybrid and open-source data platforms.
• Lead conceptual, logical and physical data modelling, including dimensional and canonical models.
• Review schemas, data models, data products and semantic layers.
• Define and maintain data modelling standards, naming conventions and version-control practices.
• Provide architecture governance and conduct design/technical reviews.
• Review architecture, code, data models, mappings, security controls, testing evidence and technical documentation.
• Embed data governance, metadata, lineage, data quality, privacy, security and access requirements into architecture.
• Work closely with Data Engineers, Data Scientists, AI teams, business stakeholders and technology partners.
• Support solution discovery, estimation, customer workshops and technical solutioning.
• Provide architecture direction, technical leadership, coaching and reusable architecture standards.

Key Mandatory Skills:

1. Enterprise Data Architecture and open-source data platforms
2. Conceptual, Logical and Physical Data Modelling
3. Data Integration, Data Lakehouse, Data Warehouse and Streaming patterns
4. Metadata, Data Lineage, Data Quality and Data Governance
5. Architecture Assurance, Design Reviews and Technical Documentation

Experience Requirement:

• 10+ years of experience across data platforms, integration, modelling or analytics.
• Minimum 5 years in Data Architecture / Technical Leadership.
• Enterprise-scale data platform architecture experience.
• Experience with architecture governance and reviewing technical/partner deliverables.