Solutions Architect - Data & Ai Platforms (Databricks)

Tymex; Johannesburg; On-site; ZAR 1 476 000 - 1 969 000; Full time

Job summary

A prominent tech firm in Johannesburg is seeking a Senior Solutions Architect to guide data and AI projects on Databricks and AWS. You will engage with stakeholders, design end-to-end solutions, and implement robust systems while advancing your career in a dynamic environment. The offer includes a competitive salary, performance bonuses, and comprehensive benefits, promoting a healthy work-life balance and professional growth.

Benefits

Performance bonus up to 2 months

13th month salary pro-rata

15-day annual leave

Meal and parking allowance

Full benefits during probation

Qualifications

• Deep technical expertise in Databricks and AWS integration.
• Proven skills in designing and delivering complex systems.
• Experience in building scalable ML/AI platforms.

Responsibilities

• Engage stakeholders and design solutions based on their needs.
• Architect end-to-end ML solutions on Databricks + AWS.
• Lead the implementation of platform components.

Skills

Expertise in Databricks

AWS integration

Python programming

SQL programming

Stakeholder engagement

DevSecOps knowledge

Collaboration skills

Tools

Terraform

Kubernetes

Spark

Job description

Senior Solutions Architect - Data & AI Platforms (Databrick)

TymeX Johannesburg, Gauteng, South Africa

About Us

At TymeX, we're empowering Tyme Group's digital banking ecosystem across Asia and Africa.

Our mission: build a secure, scalable, intelligent data & AI platform that delivers real-time, personalized experiences to millions of users.

Your Role

As a Senior Solutions Architect – Data & AI Platforms, you will be the trusted technical advisor to our stakeholders, guiding them through their data & AI journeys.

You will represent TymeX's capabilities across data, platform, DevSecOps, DataOps and ML infrastructure; you will design and deliver production-grade systems built on Databricks + AWS, and engage with stakeholders to shape their roadmaps, architectures and success.

What You'll Do

• Stakeholders Engagement & Solution Design: serve as a trusted advisor, understand business goals, data challenges, and ML/AI ambitions, and define technical strategies accordingly.
• Architect end-to-end data & ML solutions on Databricks + AWS: ingestion, storage, processing, feature engineering, model training, serving, monitoring and operations.
• Present and demonstrate solution architectures, proofs‑of‑concept, and reference implementations to technical and non‑technical stakeholders.
• Platform Architecture & Implementation: define and evolve the unified data & ML platform architecture, integrating Databricks and AWS services for compute, storage, orchestration, governance and security.
• Lead hands‑on implementation of platform components: infrastructure provisioning (IaC), DevSecOps pipelines, DataOps workflows, ML pipelines and operationalization.
• Collaborate with internal teams to deliver robust, scalable, secure ML/AI platforms that support multiple markets/environments.
• Delivery & Enablement: work directly with engineering/data science teams to implement solutions, troubleshoot issues, tune performance and optimize cost.
• Provide best‑practice guidance, documentation and enablement to stakeholders and internal peer teams.
• Monitor solution adoption, drive continuous improvement, and act as the voice of the business stakeholders to internal product/engineering teams.
• Innovation & Scale: stay ahead of emerging technologies in Databricks, AWS, ML/AI and translate them into new solution patterns and accelerator frameworks; promote reusable reference architectures, automation templates, observability frameworks and governance guardrails that enable scale and repeatability.

Requirements

• Deep technical expertise in Databricks and AWS, including integration of services across both platforms (e.g., Delta Lake, EMR, Glue, S3, SageMaker).
• Proven hands‑on implementation skills: capable of designing and delivering complex systems end to end – infrastructure, data, ML pipelines, monitoring and operations.
• Experience building scalable ML/AI platforms: ingesting and processing large volumes of data, feature engineering, model training/deployment, monitoring and lifecycle management.
• Strong programming experience with Python, SQL; familiarity with Spark; experience with IaC (Terraform, CloudFormation), orchestration (Airflow, Databricks Workflows) and container/Kubernetes environments.
• Stakeholder‑facing orientation: ability to engage with both technical and business stakeholders, translate requirements into solutions, and present ideas clearly.
• Solid understanding of DevSecOps, DataOps, observability, cost‑governance and platform reliability best‑practices.
• Excellent communication and collaboration skills; experience working across geographies and in fast‑moving, multi‑stakeholder environments.

Why Join Us

Be at the forefront of building the data & AI platform that powers a global digital banking group.

Engage with business stakeholders as a technical solution partner – your work directly influences business outcomes.

Work with a modern stack: Databricks, AWS, Delta Lake, Spark, MLflow, Terraform, Kubernetes and more.

Join a growth‑oriented team with autonomy, strong technical leadership and the opportunity to make a real impact.

Benefits

• Performance bonus up to 2 months
• 13th month salary pro‑rata
• 15‑day annual leave + 3‑day sick leave + 1 birthday leave + 1 Christmas leave
• Meal and parking allowance covered by the company
• Full benefits and salary rank during probation
• Insurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory
• SMART goals and clear career opportunities (technical seminar, conference, and career talk) – we focus on your development
• Values‑driven, international working environment, and agile culture
• Overseas travel opportunities for training and working related
• Internal Hackathons and company events (team building, coffee run, blue card…)
• Work‑life balance 40‑hr per week from Monday to Friday

Seniority Level: Mid‑Senior level

Employment Type: Full‑time

Job Function: Information Technology

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