Data Architect

This is not a conceptual architecture role.As a Data Architect at SentraAI you will define and own data architectures that are built deployed audited and relied upon in large complex enterprise environments. The models patterns and standards you design will be implemented at scale and tested under real operational pressure.If your experience is limited to frameworks PowerPoint or advisory-only work this role is not for you.The Operating ContextSentraAI is delivering a large-scale data and AI transformation for a complex enterprise operating under high governance and reliability expectations.The programme involves:Migrating fragmented legacy data estates into a modern cloud-native lakehouseDesigning enterprise-wide data models that support operational analytical and AI use casesEnabling real-time and batch data processing across many domains and systemsEstablishing governance lineage and quality standards that work in practiceThis is not greenfield. The architecture must survive delivery scale and scrutiny.Your AccountabilityYou are accountable for architecture that works in reality not theory.That includes:Defining the enterprise data architecture and target-state blueprintsDesigning canonical data models and domain-aligned schemasEstablishing lakehouse layering data contracts and integration patternsEnsuring governance lineage and quality are embedded not bolted onTranslating architectural intent into delivery-ready standardsSupporting engineering teams through implementation and trade-offsExplaining architectural decisions clearly to technical and non-technical stakeholdersOwnership does not end once diagrams are approved.RequirementsWhat You Will Design - (content below retained):Enterprise data models spanning core domains and shared entitiesLakehouse architectures supporting batch streaming and AI workloadsIntegration patterns for source systems CDC and event-driven pipelinesData governance frameworks covering cataloguing lineage access and qualityReference architectures that engineers can actually build and operateYou are expected to use AI tools to accelerate design documentation validation and decision-making while operating within defined governance standards.This Role Is Not For You IfYou have not seen your architectures implemented in productionYou avoid engagement during delivery or incidentsYou treat governance as a documentation exerciseYou design without regard for cost operability or scaleYou struggle to explain trade-offs clearly under pressureWe are explicit because credibility matters.What Strong Looks LikeWithin 6-12 months:Engineers follow your standards because they workData models are stable extensible and trustedGovernance improves delivery speed rather than slowing itArchitectural decisions reduce complexity over timeStakeholders trust your judgement not just your diagramsThis is how performance is measured.What We Expect You To Be Strong AtEnterprise data modelling conceptual to physicalDistributed data platforms and lakehouse architecturesData integration CDC and streaming patternsGovernance lineage and quality in live environmentsWorking closely with engineers under real delivery constraintsClear confident communication in professional EnglishBenefitsWhat SentraAI Gives in ReturnOwnership of architecture decisions that matterExposure to large-scale complex enterprise systemsA team that values delivery over theoryMeritocratic progression based on impactCareer capital that is globally credibleFinal NoteSentraAI does not hire architects to produce documentation.We hire architects to shape systems that last.If you want to design data architectures that are built operated and trusted at scale we should talk.#J-18808-Ljbffr