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Enterprise Technical Architect

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Onsite

Enterprise Technical Architect

Intellect Design Arena Ltd

Enterprise Technical Architect

Skills

SQL QueriesMongoDBDockerDevOpsMicroservicesPostgreSQLAWS LambdaKafkaRedisDatabricksDesign ThinkingMachine LearningAIAWSKubernetesSalesforceOracleCompliance

13 days ago

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Important information


Contract type:

Permanent

Location:

Cirencester GL7, UK

Work mode:

Onsite

Published on:

12 October 2026

What they need


Tittle – Enterprise Technical Architect

Location: Cirencester, UK

Employment Type: Full-time

Domain: Wealth Management / Investments / Financial Services

Company Overview — Intellect Design Arena Ltd

Intellect Design Arena Ltd is a global financial technology leader delivering cloud-native, composable

and intelligent platforms to the world’s most progressive financial institutions. Built on deep domain

expertise and design thinking, Intellect’s solutions span core banking, transaction banking, payments,

cash management, treasury & capital markets, risk & compliance, wealth management and

AI-driven data platforms.

Intellect’s technology ecosystem—powered by eMACH.ai, Purple Fabric, and modular open finance

components—enables Tier 1 and Tier 2 banks to modernise legacy landscapes, accelerate digital

transformation, and scale securely across geographies. The company serves 300+ financial institutions

across 50+ countries, including many global systemically important banks.

For more information, visit

🌐 www.intellectdesign.com

🌐 www.emach.ai

🌐 www.purplefabric.ai

Role Overview

The Enterprise Technical Architect is a hands-on technology leadership role responsible for the end-to-end technical architecture, solutioning, and engineering alignment of a large-scale Wealth Management platform.

You will work across applications, UI services, APIs, integrations, data, databases, AI/ML, AWS Cloud, infrastructure, Kubernetes, Docker, DevOps, security, performance, scalability, and cost optimization. You are expected to be hands-on, technically deep, and closely engaged with engineering teams to ensure solutions are secure, performant, cost-effective, and production-ready.

Key Responsibilities

  1. End-to-End Enterprise Architecture: Define and govern architecture covering UI, microservices, APIs, integrations, databases, cloud, and operational platforms.
  2. Technical Solutioning: Convert complex functional requirements into practical technical designs, evaluating architectural trade-offs and tech stacks.
  3. AWS & Infrastructure Architecture: Design and optimize AWS cloud environments (EKS, Lambda, RDS, S3, IAM) focusing on resilience, scalability, and cost control.
  4. Integration Leadership: Implement REST, event-driven (Kafka), WebSockets, and Salesforce integration patterns.
  5. Containers & DevOps: Drive containerized architecture (Docker/Kubernetes) and embed complete CI/CD / DevSecOps lifecycles.
  6. Data & AI Architecture: Provide technical direction across RDBMS, NoSQL, Data Lakes, and AI/ML capabilities (LLM integration, RAG, vector databases).
  7. Performance & Security: Lead latency profiling, database tuning, DevSecOps, secrets management, and infrastructure sizing.
  8. Hands-On Leadership & Troubleshooting: Review designs, API contracts, database schemas, and Kubernetes manifests while leading complex root-cause analysis for production issues.

Core Technical Expertise Required

  • Application & UI: Microservices, modern UI services, API/BFF patterns, Domain-Driven Design (DDD).
  • Databases & Data: PostgreSQL, Oracle, SQL Server, DynamoDB, MongoDB, Redis, Spark/Databricks, ETL/ELT, CDC.
  • Integration: REST APIs, API Gateways, Kafka, Kinesis, Event-Driven Architecture.
  • AWS Cloud: EC2, EKS, ECS, Lambda, S3, RDS/Aurora, DynamoDB, Redshift, CloudWatch, IAM, KMS.
  • Containers & DevOps: Docker, Kubernetes, Git, CI/CD, Infrastructure-as-Code, DevSecOps.
  • Security: IAM, OAuth/JWT, encryption, secrets management, vulnerability remediation.
  • AI/ML: Machine Learning, GenAI, LLM integration, RAG, vector databases.

Domain Experience Required

Strong understanding of the end-to-end Wealth Management / Investment lifecycle , including:

  • Client & Account Onboarding, KYC/AML, Suitability, Financial Advice, Portfolio Management, Investment Proposals, Order Management, Trading/Execution, Allocation, Settlement, Custody, Holdings, Cash, Pricing, Valuation, Performance, Fees, Taxation, Reconciliation, and Reporting.

Qualifications & Candidate Profile

  • 15–20+ years of progressive experience in software engineering and enterprise/solution architecture.
  • Proven track record in architecting large-scale financial platforms within Wealth Management or Banking.
  • Strong ability to evaluate trade-offs between performance, scalability, security, complexity, and cost.
  • Excellent communication and leadership skills with the ability to bridge business requirements and engineering execution.

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