Enterprise Architect

• Enterprise Architecture
• Legacy Modernization
• Application Architecture
• Microservices Architecture
• Event-Driven Architecture
• API & Integration Architecture
• Cloud-Agnostic Architecture
• Domain-Driven Design
• Strangler Pattern Migration
• DevSecOps
• CI/CD & IaC
• Observability
• DataBricks
• Data Governance & Lineage
• Cloud Portability
• Kubernetes
• Kafka
• .NET
• MSSQL / PostgreSQL

• Financial Services / Banking Domain experience

• Proven enterprise architecture experience across large-scale legacy modernization, distributed systems, integration platforms, database ecosystems, cloud-enabled platforms, and regulated enterprise environments.
• Strong ability to assess monolithic, tightly coupled, database-centric and batch-driven estates and translate findings into practical target-state architecture and migration roadmaps.
• Deep understanding of microservices architecture, domain-driven design, service decomposition, database-per-service patterns, distributed workflows, sagas, APIs, and contract-first design.
• Strong knowledge of event-driven architecture, Kafka-based event streaming, schema management, asynchronous processing, replayability, idempotency, dead-letter handling, and integration resilience patterns.
• Hands-on architecture experience with Microsoft .NET ecosystems, REST / gRPC APIs, middleware platforms, enterprise messaging, MSSQL, PostgreSQL, and application modernization technologies.
• Strong understanding of cloud-agnostic and hybrid architecture principles including Kubernetes, Docker, containerized deployment, cloud portability, platform engineering, and workload isolation.
• Experience with DevSecOps, CI/CD, infrastructure-as-code, automated quality gates, release orchestration, environment promotion, vulnerability scanning, and audit-ready change management.
• Ability to define resilience and operational readiness requirements including high availability, disaster recovery, failover, observability, monitoring, logging, tracing, SLOs, incident handling, and support transition.
• Good appreciation of enterprise data platforms like Databricks, governed reporting, data lineage, data quality, auditability, regulatory evidence, and interaction between operational systems and analytical data platforms.
• Excellent stakeholder management, architecture governance, decision facilitation, risk articulation, technical communication, and cross-functional coordination skills.
• Ability to balance target-state architecture ambition with delivery pragmatism, coexistence constraints, incremental migration, business continuity, operational stability, and regulatory expectations.
• Strong documentation discipline across architecture blueprints, transition states, decision records, integration contracts, dependency maps, runbooks, governance artifacts, and executive-level architecture narratives.

• TOGAF® Enterprise Architecture Practitioner / TOGAF® 9 Certified
• AWS Certified Solutions Architect – Professional, or Microsoft Certified: Azure Solutions Architect Expert
• Certified Kubernetes Administrator (CKA)

• Own enterprise architecture assessment and target-state definition for large-scale legacy modernization initiatives across application, integration, data, infrastructure, security, and operations domains.
• Assess current-state monolithic applications, shared database dependencies, batch processing models, middleware integrations, reporting dependencies, operational constraints, and resiliency gaps to define pragmatic modernization pathways.
• Define future-state architecture aligned to separation of concerns, microservices, database-per-service, API-led integration, event-driven processing, cloud portability, automated delivery, observability, and enterprise governance principles.
• Establish architecture guardrails, reference patterns, decision records, integration standards, data ownership principles, service boundary guidance, and non-functional requirements for scalable and resilient modernization delivery.
• Guide decomposition of tightly coupled legacy capabilities into domain-aligned services, reusable platform components, controlled interfaces, independently deployable modules, and governed operational workflows.
• Support migration strategy using incremental modernization patterns such as strangler migration, parallel run, coexistence, controlled cutover, rollback planning, reconciliation, and phased capability transition.
• Provide architecture direction for integration modernization across messaging, APIs, file-based interfaces, event streaming, schema governance, idempotent processing, error handling, retry mechanisms, and dead-letter handling.
• Partner with data architecture teams to align application modernization with governed data platforms, lineage, auditability, data quality, reporting readiness, and operational data consumption patterns.
• Drive architecture alignment across cloud, on-premise, and hybrid deployment models including Kubernetes, containerization, platform engineering, DevSecOps, CI/CD, infrastructure-as-code, secrets management, and environment readiness.
• Define and validate resilience, high availability, disaster recovery, failover, monitoring, logging, tracing, alerting, operational readiness, and supportability requirements for business-critical enterprise platforms.
• Facilitate architecture governance forums, technical design reviews, solution walkthroughs, migration readiness assessments, risk reviews, and cross-team decision-making across delivery workstreams.
• Support implementation oversight during build, test, deployment, cutover, stabilization, and hyper-care phases to ensure solutions remain aligned with enterprise architecture guardrails and modernization objectives.
• Create and maintain architecture documentation including current-state assessments, target-state blueprints, transition architectures, integration views, dependency maps, decision logs, operational runbooks, and modernization roadmaps.

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

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