Information Architect

Khonology is a digital services company focused on software development, Application Support, data analytics and engineering.

We are seeking to engage the services of an Information Architect for a 6 month engagement.

The Information Architect will be responsible for designing, optimising, and governing the enterprise information landscape across on premises, hybrid, and cloud data environments. This includes ensuring that data is structured, accessible, secure, and aligned to business objectives. The role requires deep expertise in cloud based architectures—particularly Amazon Web Services (AWS)—while also incorporating modern hybrid and on prem data patterns to enable scalable, secure, and high performing data ecosystems.

The Information Architect will also support the design and enablement of scalable data pipelines and modern data platform workflows. The role requires the ability to design and guide the development of analytical and machine learning models using client and organisational data, ensuring insights are accurate, trustworthy, and actionable

Key Responsibilities

Information Architecture & Strategy

• Develop and maintain enterprise information architecture standards, models, and guidelines.

• Define data flows, conceptual/logical data models, metadata standards, and integration patterns.

• Architect solutions spanning on‑prem, hybrid, and cloud‑based data stores.

• Align information architecture with business strategy, compliance requirements, and technology roadmaps.

Cloud, Hybrid & On‑Prem Architecture

• Design and integrate data architectures leveraging AWS services such as S3, RDS, Dynamo
  
  DB, Glue, Lambda, Redshift, API Gateway, Cloud Formation, IAM, Cloud Watch, and VPC.

• Incorporate on‑prem and hybrid data solutions, including relational databases, data warehouses, file systems, and integration with cloud platforms.

• Implement cloud‑native and hybrid data ingestion, storage, processing, and analytics capabilities.

• Optimise data environments across all hosting models for performance, cost, resilience, and security.

• Govern and enforce AWS and hybrid architecture best practices, including encryption, IAM, observability, and compliance controls.

Data Pipelines & Dev Ops Enablement

• Architect and optimise end‑to‑end data pipelines to support ingestion, processing, transformation, and analytics workloads.

• Implement Dev Ops and Data Ops practices such as CI/CD pipelines, automated deployments, environment provisioning, and testing frameworks.

• Leverage infrastructure‑as‑code and pipeline orchestration tools (e.g., Cloud Formation, Terraform, Airflow, Step Functions, Glue Workflows).

• Ensure data pipelines are resilient, observable, version‑controlled, and aligned with enterprise standards.

Model Development & Actionable Insights

• Design and support the development of analytical and ML models using structured and unstructured client data.

• Ensure models and derived insights are accurate, scalable, ethical, and operationally useful.

• Collaborate with analytics and data science teams to embed insights into operational workflows.

Solution Design & Collaboration

• Support solution, platform, and integration architects by designing data components of enterprise solutions.

• Collaborate with engineering, analytics, and business teams to meet functional and non‑functional requirements.

• Participate in architecture forums, design reviews, and internal working groups.

Security, Compliance & Risk

• Ensure adherence to information security controls, data privacy legislation (e.g., POPIA), and industry regulatory requirements.

• Conduct risk assessments and provide guidance on mitigating data‑related risks.

Experience

• 7+ years in information architecture, data modelling, or enterprise architecture roles.

• Proven experience designing and implementing AWS‑based data architectures.

• Experience across on‑prem, hybrid, and cloud data integration models.

• Experience with data integration, APIs, microservices, and event‑driven patterns.

• Strong understanding of data governance, metadata management, and data security.

• Experience in Agile delivery environments.

  
• Global Markets / investment banking experience is advantageous.