Principal Data Architect

Key Responsibilities

Enterprise Architecture & Strategy

• Define end-to-end enterprise data platform architecture across Azure Databricks and Microsoft Fabric
• Lead modernization programs involving legacy ETL migration cloud-native transformation and platform consolidation
• Design scalable secure and governed data ecosystems aligned with business outcomes
• Drive architecture decisions with clear rationale trade-off analysis and long-term operational considerations

Client & Stakeholder Leadership

• Independently lead architecture workshops discovery sessions and executive stakeholder discussions
• Translate technical solutions into business value for both technical and non-technical audiences
• Influence senior client stakeholders across technology operations and business teams
• Provide strategic advisory on platform roadmap governance scalability and transformation approach

Data Engineering & Platform Leadership

• Define standards and best practices across:
  • Databricks
  • Microsoft Fabric
  • Unity Catalog
  • OneLake
  • Medallion Architecture
  • Data Vault 2.0
  • Streaming/Data Integration frameworks
• Lead implementation of metadata-driven frameworks and reusable engineering accelerators
• Oversee CI/CD DevOps Infrastructure-as-Code and platform governance implementation

Integration & Modern Architecture

• Design API-first and event-driven integration architectures
• Work closely with application AI and platform engineering teams
• Define microservices integration patterns and enterprise interoperability standards
• Architect secure and scalable data access patterns for downstream applications and AI solutions

Delivery Governance

• Provide architectural governance across large-scale programs
• Lead solution reviews performance optimization security reviews and operational readiness
• Drive delivery quality scalability observability and cost optimization practices
• Support cutover planning business continuity rollback strategy and production readiness

Required Skills & Experience

Must Have

• 12 years in Data & Analytics architecture
• Strong hands-on expertise in Databricks and Azure Data Platform
• Experience with Microsoft Fabric architecture and implementation
• Enterprise-scale migration and modernization experience
• Strong experience with:
  • Unity Catalog
  • Delta Lake
  • Streaming architectures
  • Event Hub / Kafka
  • Azure DevOps
  • Terraform / Bicep
  • CI/CD pipelines
• Strong understanding of data modelling:
  • Data Vault 2.0
  • Dimensional modelling
  • Lakehouse patterns
• Experience designing metadata-driven ETL/ELT frameworks
• Excellent communication and stakeholder management skills

Preferred

• Experience in Pharma Financial Services or other regulated industries
• Experience with API Management and microservices architecture
• Exposure to AI/ML platform integration patterns
• Experience leading global delivery teams