Technical Architect – Integration, Reports & Data

Technical Architect – Integration, Reports & Data1 Role Overview As a TE6 Technical Architect specializing in Integration, Reports, and Data, you will serve as a primary technical authority driving the end-to-end architecture across global enterprise systems. At the TE6 level, you will operate at the intersection of complex system integrations, modern data engineering, and enterprise BI reporting. You are responsible for defining technology roadmaps, designing scalable data pipelines, setting integration standards, and mentoring senior technical leads to ensure reliable, secure, high-performance execution.

Architecture & Strategy (Integration, Data, & Reporting): Design scalable, fault-tolerant integration patterns (REST/GraphQL APIs, Event-Driven/Kafka, Enterprise Service Bus, ETL/ELT). Build and oversee unified enterprise data architectures (Data Lakes, Lakehouses, Warehouses like Snowflake/BigQuery) and modern BI reporting systems (PowerBI, Tableau, custom analytics platforms). Ensure seamless interoperation between legacy systems, microservices, third-party SaaS tools, and cloud platforms (AWS/Azure/GCP). Governance & Standards: Define and enforce data governance policies, metadata management, API security guidelines (OAuth2, OIDC, Zero Trust), and reporting data freshness SLAs. Establish enterprise design patterns, deployment standard operating procedures (SOPs), and architectural decision records (ADRs). Technical Leadership & Stakeholder Alignment: Act as a bridge between C-suite/business executives, product teams, and delivery engineers to convert complex functional needs into robust architecture. Mentor Lead Engineers and Senior Developers; conduct technical design reviews and code audits. Performance, Security & Scalability: Optimise query execution, data modeling (Kimball/Vault), and high-throughput real-time streaming topologies. Lead disaster recovery strategies, automated CI/CD pipelines for infrastructure, and continuous cloud cost optimization (FinOps). Qualifications & Experience Area Requirement Experience 12–16+ years of progressive tech experience, with 5+ years in lead/architect roles overseeing integration & data platforms.

Bachelor’s or Master’s in Computer Science, Information Technology, or a related technical field. Integration Stack Deep hands-on expertise in MuleSoft, Kafka, Apigee, RabbitMQ, AWS EventBridge, RESTful/gRPC APIs, and integration middleware. Data Stack Extensive experience with Snowflake, Databricks, PostgreSQL, Apache Spark, Redshift, or BigQuery. Reporting & BI Stack Deep knowledge of reporting engines, analytical semantic layers, PowerBI, Tableau, Looker, or SSRS/Superset. Cloud & DevOps Expertise with AWS/Azure/GCP, Docker, Kubernetes, Terraform, and CI/CD automation pipelines.