Enterprise Architecture Principal – Data & Analytics
Core
Define and publish a business-aligned data and analytics architecture strategy with a clear 3–5 year roadmap covering data platforms, governance, analytics, AI/ML, and integration layers.
Role type
Principal Enterprise Architect (Data & Analytics)
Builds
Modern, modular data architectures, semantic layers, AI/ML platforms, and reusable reference patterns for enterprise-scale analytics.
Domain
Healthcare / Financial Services / Enterprise Data & AI
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Enterprise architecture strategy, cloud platforms (Azure/AWS/GCP), data governance, AI/ML platforms, event-driven architecture, streaming technologies, data integration patterns, architecture decision frameworks, stakeholder influence without authority
Preferred skills
Large-scale regulated enterprise environments, DataOps, MLOps, GenAI, agentic analytics
Technologies
Azure, AWS, GCP, Lakehouse, Data Mesh, Data Fabric, APIs, streaming, feature stores
Responsibilities
Develop and lead enterprise data and analytics architecture strategies and roadmaps; Design and evolve enterprise data & analytics architecture strategy, capability maps, and target-state designs; Lead architecture decisions for large-scale data, analytics, and AI initiatives; Architect and support modern data platforms (cloud data lakehouse, streaming, real-time pipelines, semantic/ontology layers); Embed data governance, quality, lineage, metadata, and stewardship frameworks into architecture design; Provide technical leadership, mentoring, and guidance across the architecture and data community
Seniority
Principal, strategy & mentorship