Latest Jobs at Ovations Technologies

Job Purpose

• The Cloud Architect is responsible for defining, designing, and governing the organisation's cloud strategy, architecture, and implementation roadmap. The role ensures that cloud platforms and services are secure, scalable, resilient, cost-effective, and aligned to business and technology objectives. The Cloud Architect works closely with business stakeholders, solution architects, engineering teams, security teams, and technology partners to enable cloud adoption and digital transformation initiatives.

Key Responsibilities

Cloud Strategy & Architecture

• Develop and maintain enterprise cloud architecture standards, principles, and reference architectures.
• Define cloud adoption roadmaps aligned to business and technology strategies.
• Evaluate cloud technologies and services to support current and future business requirements.
• Establish cloud governance frameworks, architecture patterns, and best practices.

Solution Design & Delivery

• Design secure, scalable, highly available, and resilient cloud solutions.
• Provide architectural leadership across cloud transformation, application modernisation, data platforms, AI, and digital initiatives.
• Review and approve solution designs to ensure alignment with enterprise architecture standards.
• Support migration of applications, data, and infrastructure from on-premise to cloud environments.

Security, Risk & Compliance

• Ensure cloud solutions comply with security, risk, regulatory, and governance requirements.
• Collaborate with cybersecurity teams to implement cloud security controls and monitoring.
• Define cloud identity, access management, encryption, and network security architectures.
• Support audit, compliance, and risk management activities.

Cloud Operations & Optimisation

• Promote cloud operational excellence through automation, monitoring, and observability.
• Drive cloud cost optimisation and FinOps practices.
• Establish standards for availability, resilience, disaster recovery, and business continuity.
• Support performance optimisation and capacity planning initiatives.

Stakeholder Engagement

• Work closely with business leaders, product owners, engineering teams, and technology partners.
• Provide architectural guidance during planning, budgeting, and project execution.
• Present architecture strategies and recommendations to senior management and governance forums.
• Mentor solution architects, engineers, and technical teams on cloud best practices.

Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Postgraduate qualification advantageous.

Professional Certifications (Preferred)

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Administrator Associate
• AWS Certified Solutions Architect Professional
• Google Professional Cloud Architect
• TOGAF Certification
• Certified Kubernetes Administrator (CKA)
• FinOps Practitioner Certification

Experience

• 8–12 years of IT experience with at least 5 years in cloud architecture roles.
• Experience designing and implementing enterprise-scale cloud solutions.
• Proven experience with cloud migration and modernisation programmes.
• Experience with hybrid cloud and multi-cloud environments.
• Experience within financial services, banking, insurance, or highly regulated industries is advantageous.
• Experience leading large-scale transformation initiatives and technology delivery teams.

Technical Skills

Cloud Platforms

• Microsoft Azure (Preferred)
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)

Infrastructure & Networking

• Virtual Networks
• Software Defined Networking
• VPN and ExpressRoute Connectivity
• Load Balancing and Traffic Management
• Infrastructure as Code (IaC)

DevOps & Automation

• Azure DevOps
• GitHub
• CI/CD Pipelines
• Terraform
• Bicep
• Ansible
• PowerShell
• Python

Containers & Modern Platforms

• Kubernetes
• Docker
• OpenShift
• Container Security

Security & Compliance

• Cloud Security Architecture
• Identity & Access Management
• Zero Trust Architecture
• Encryption & Key Management
• Regulatory Compliance Frameworks

Data & AI Platforms

• Azure Databricks
• Microsoft Fabric
• Azure Synapse Analytics
• Azure Data Lake Storage (ADLS Gen2)
• AI/ML Platform Architecture

Key Competencies

• Strategic Thinking
• Enterprise Architecture
• Leadership & Influencing Skills
• Stakeholder Management
• Problem Solving & Decision Making
• Risk Management
• Financial & Commercial Acumen
• Communication & Presentation Skills
• Innovation & Continuous Improvement

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About the Role

• The Cloud Data Engineer is responsible for preparing enterprise-grade data products and driving technical thought leadership to support advanced analytics initiatives. This role involves designing, developing, and maintaining scalable data solutions on Microsoft Azure, ensuring the delivery of clean, reliable, and fit-for-purpose data across the organisation.
• You will build robust data pipelines, integrate APIs, and leverage Azure services to enable advanced analytics, machine learning, and business intelligence capabilities while supporting the bank's data-driven strategy.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Azure, Microsoft Fabric, Databricks, Ab Initio, Python, PySpark, and Spark
• Develop and optimize data ingestion, transformation, and delivery processes across Data Warehouses and Data Lakes
• Implement DataOps practices, workflow orchestration, automated testing, and CI/CD pipelines
• Integrate APIs and support real-time data consumption for business applications
• Enable low-latency and streaming data solutions using Kafka, Azure Event Hub, and related technologies
• Ensure data quality, governance, lineage, metadata management, and regulatory compliance (POPIA)
• Manage and optimize cloud and hybrid data platforms for performance, scalability, and reliability
• Collaborate with Data Scientists, Analysts, Architects, and Business Stakeholders to deliver innovative data solutions
• Drive continuous improvement, innovation, and technical best practices across the data engineering function

Requirements

• Undergraduate Degree
• Experience in Data Engineering, Data Platforms, or Business Intelligence environments
• Strong expertise in Microsoft Azure, Azure Data Factory, Microsoft Fabric, Databricks, Python, and PySpark
• Experience with DataOps, Infrastructure as Code, workflow orchestration, and CI/CD practices Knowledge of data governance, data quality, metadata management, and enterprise data architectures
• Experience with API integration and real-time data processing technologies

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This is a 12 – month contract

• Actively own, influence, and drive the evolution and health of multiple Technology or Domain assets while playing a leadership role in associated Centres of Excellence (COEs).

Key Responsibilities

• Technical Guidance: Provide expertise and advise Engineering Leads, Divisional Executives, and domain architects on technology decisions and roadmaps.
• Quality Assurance: Guide and practice code design, analysis, integration, branching, and merging; conduct technology reviews of code and design quality.
• Roadmap & Standards: Define, review, and drive the implementation of technical roadmaps, patterns, and practices.
• R&D & Optimization: Conduct research and development experimentation, troubleshoot complex issues, and optimize asset performance.
• Governance & Mentorship: Maintain risk and compliance frameworks, update asset knowledge bases, and provide coaching and mentoring to upskill teams.

Minimum Requirements

• Experience: Minimum 8 years of IT experience, with at least 5 years focused on relevant technologies or domains.
• Education: Matric / Grade 12 / National Senior Certificate (Essential); Degree or Diploma in IT (Preferred).
• Technical Knowledge: Proven expertise in Asset Management processes, Data Warehousing, and IT Architecture.

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Job Description:

• This is a 2 - month contract with our client in the banking sector.
• Bridge the gap between agricultural valuation, data science, and credit decisioning by providing expert advisory and research to support machine learning-driven valuation models.

Key Responsibilities

• Model & Methodology Advisory: Guide agricultural valuation methodologies, asset pricing principles, and the development/refinement of ML models.
• Output Interpretation: Identify valuation drivers and assumptions; translate complex technical modelling outputs into actionable business language.
• Cross-Functional Collaboration: Engage with Product, Credit Risk, Agriculture Banking, Data Science, and Tech teams.
• Research & Governance: Conduct market trend research, produce executive presentation packs, and support model review governance forums.
• Knowledge Management: Document valuation frameworks and facilitate stakeholder education workshops.

Minimum Requirements

• Experience: Proven background in agricultural valuation, agribusiness economics, agricultural finance, or related fields.
• Model Support: Direct experience supporting analytical, statistical, or machine learning models.
• Technical Knowledge: Deep understanding of valuation methodologies and collateral valuation principles.
• Skills: Strong research, documentation, and stakeholder communication skills.
• Advantageous: Experience within a banking, lending, or credit risk environment.