Latest Jobs at Praesignis

Role Purpose

• We are seeking an experienced Data Strategy & AI Transformation Lead to define and shape the future-state data landscape for our client. The role will focus on developing an AI-ready data strategy, improving data integration and governance and enabling advanced analytics, automation and data-driven decision-making across the organisation.
• The successful candidate will assess the current (“as-is”) data environment and design a future-state data strategy, supported by a phased implementation roadmap that delivers measurable value in the short, medium and long term.

Key Responsibilities

• Analyse and document the current (“as-is”) data and system landscape, including data inflows and outflows.
• Design a future-state AI-enabled data architecture and strategy aligned to business objectives.
• Identify opportunities to improve data usage, integration, governance and efficiency across systems.
• Define and articulate data strategy options supporting analytics, automation and AI use cases.
• Develop a phased implementation roadmap (short-,medium-and long-term) to transition to the target state.
• Identify and prioritise value-driven use cases to unlock data potential across the department.
• Ensure alignment between data strategy, business processes, and technology capabilities.
• Provide strategic input into data governance and data management frameworks.
• Support the organisation in building a scalable, sustainable and innovation-driven data ecosystem.

Required Experience & Skills

• Proven experience in data strategy, data architecture, or enterprise data transformation.
• Strong understanding of data ecosystems, integration and data flow modelling.
• Experience designing AI-ready or analytics-enabled data environments.
• Knowledge of data governance, data management and data quality frameworks.
• Experience delivering roadmaps and enterprise transformation strategies.
• Strong stakeholder engagement and communication skills (technical and business).
• Ability to translate complex data environments into clear strategic direction.
   

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Job Description

• We are seeking a highly skilled AWS Cloud Engineer with strong experience in banking or financial services to design, implement, and maintain secure, scalable, and compliant cloud solutions on Amazon Web Services (AWS). The ideal candidate will have a proven track record of delivering enterprise-grade cloud infrastructure within regulated environments, ensuring adherence to financial industry standards such as PCI DSS, SOC 2, and ISO 27001.
• This role requires expertise in cloud architecture, automation and DevOps practices, along with a deep understanding of data security, compliance and high-availability systems critical to banking operations.

Key Responsibilities:
Cloud Architecture & Design

• Design, build, and manage secure, high-performance AWS cloud environments that meet banking-grade standards for security, resiliency, and compliance.

Security & Compliance

• Implement and manage security controls aligned with banking regulations

Infrastructure as Code & Automation

• Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK to automate provisioning and configuration.

Cloud Operations & Support

• Monitor cloud resources and performance using CloudWatch, CloudTrail, GuardDuty, and Security Hub.

Collaboration & Leadership

• Partner with Developers, DevOps Engineers, and Database Administrators to deliver secure and scalable solutions.

Preferred Skills & Certifications:

• Experience with Kubernetes/EKS, Docker, or containerized application deployments.
• Knowledge of hybrid cloud or on-prem to cloud migration strategies (VMware Cloud on AWS, Outposts).
• Familiarity with data lake architectures (AWS Lake Formation, Glue, Redshift) for financial analytics.
• Experience with monitoring and logging tools (Splunk, Datadog, ELK Stack

Required Qualifications & Experience:

• Bachelor’s degree in computer science, Information Technology, or related field (or equivalent experience).
• 5–8 years of professional IT experience, with 3–5+ years focused on AWS cloud engineering.
• Proven expertise in key AWS services, including:
• Compute: EC2, Lambda, Auto Scaling
• Storage: S3, EBS, Glacier
• Networking: VPC, Direct Connect, Transit Gateway, Route 53
• Database: RDS, DynamoDB, Aurora
• Security: IAM, KMS, WAF, Shield, Security Hub
• Strong knowledge of financial industry security standards (PCI DSS, SOC 2, ISO 27001, POPIA, GDPR).
• Experience implementing multi-account AWS Organizations with Service Control Policies (SCPs).
• Hands-on experience with Terraform or CloudFormation for large-scale deployments.
• Proficiency with Linux/Unix system administration, shell scripting (Bash, Python, PowerShell).
• Strong understanding of networking concepts (firewalls, VPNs, DNS, load balancers, private connectivity).
• Demonstrated ability to build high-availability, fault-tolerant architectures for financial applications.