Principal Data Architect

AI Multi-Cloud Architecture LeadResponsible for defining and advancing a cloud-agnostic, AI-enabled architecture strategy that supports enterprise analytics, automation, and operational decision-making across multi-cloud environments. This role leads architecture standards and governance across AWS and GCP while actively delivering hands-on prototypes, data pipelines, and AI integrations to accelerate adoption. Operating as a shared services architecture function, this role both guides and demonstrates best practices—bridging strategy and execution to ensure scalable, cost-efficient, and production-ready solutions aligned with ServiceNow CMDB/APM and Apptio models.Core Role Identity Dimension ExpectationArchitecture: Defines standards, patterns, governanceDelivery: Builds POCs, pipelines, and AI integrationsModel: Shared service / enterprise enablementAuthority: Influences + demonstrates (not just advises)Key ResponsibilitiesMulti-Cloud Architecture Governance: Define and implement cloud-agnostic architecture patterns across AWS and GCP. Standardize GCP governance aligned to AWS controls. Establish reusable reference architectures for data, AI, and infrastructure. Promote abstraction via: Containers (Kubernetes) APIs Infrastructure as Code (Terraform)Hands-On Enablement (POCs Pipeline Delivery): Build proof-of-concept solutions to validate architecture patterns. Develop and optimize data pipelines and integrations across systems (ServiceNow, Apptio, Jira). Implement AI-enabled workflows (model integration, automation). Provide hands-on support to delivery teams to accelerate adoption. Translate architecture into working, scalable solutionsAI Integration MLOps Enablement: Design and implement AI-ready pipelines (structured + unstructured data). Support: Model integration into enterprise workflows MLOps lifecycle enablement (CI/CD, monitoring, governance) AI tool/vendor evaluation. Mature organization from: POCs ? Embedded AI ? Governed enterprise AIData Architecture Integration (CMDB/APM-Aligned): Architect data flows integrating: ServiceNow (CMDB/APM) Apptio (cost transparency) Jira (delivery data). Address key challenges: Data latency Data duplication Cost visibility gaps. Enforce system-of-record and data ownership principlesGovernance FinOps (Advisory + Enablement): Define standards for: Cloud cost optimization (FinOps) AI governance and lifecycle management Data quality and pipeline SLAs. Support KPI transparency: Cloud cost per application Data pipeline reliability AI ROI. Guide teams while enabling them through working solutionsPlatform Strategy Shared Services LeadershipAct as a central architecture leader and enabler. Support teams through: Architecture reviews POC delivery Design guidance Build reusable enterprise assets: Patterns Templates Integration frameworksRequired Experience7+ years in cloud architecture, data engineering, or infrastructureProven experience in multi-cloud environments (AWS + GCP)Demonstrated ability to: Design architecture and deliver working solutions Build data pipelines and integrationsStrong experience with: Python, SQL ETL/ELT pipelines Infrastructure as Code (Terraform preferred) Containers (Kubernetes)Success Metrics (Aligned to Your KPIs)Reduction in cloud cost per applicationImprovement in pipeline SLAsReduction in duplicate data/integrationsIncrease in production AI-enabled workflowsAdoption of multi-cloud architecture standardsNumber of successful POCs transitioned to production