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.

Key Responsibilities

• 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.

Education 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.