Design and implement enterprise data architectures spanning Source of Origin (SOO), System of Record (SOR), and Common Data Model (CDM/Curated) layers
Lead core data architecture activities including data modeling (conceptual, logical, physical), master data management, reference data, metadata, lineage, and governance frameworks
Build scalable batch and real-time data pipelines and data products leveraging lakehouse and warehouse patterns
Architect and support end-to-end deployment of AI/ML solutions on data platforms, including feature engineering, model integration, orchestration, and monitoring
Work hands-on with engineering teams to deliver production-grade solutions with proper CI/CD, security, performance optimization, and observability
Partner with business stakeholders and technical teams to translate requirements into clean, scalable technical designs that align with PE value creation objectives
Requirements
8+ years in data architecture, solution architecture, or data engineering roles
Proven track record designing and implementing SOO/SOR/CDM architectures, lakehouse/warehouse patterns, and dimensional modeling
Hands-on experience delivering AI-enabled solutions to production environments (beyond experimentation)
Cloud implementation experience in Azure, AWS, or GCP (deep expertise in at least one platform)
Consulting delivery experience across multiple clients and domains preferred
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
High-impact role on a flagship, enterprise-scale transformation program
Opportunity to design modern, AI-enabled digital commerce platforms
Exposure to top-tier private equity-backed and global enterprise clients
Global, senior engineering and architecture peers
Flexible, remote-first working environment with strong autonomy