Senior Solutions Architect - Data & AI Platforms (Databrick)

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.

We are seeking a Senior Solutions Architect - Data & AI Platforms — someone who blends deep technical mastery with the ability to engage directly with stakeholders, understand their business needs, and design / implement high-impact solutions.

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 both design and deliver production-grade systems built on Databricks + AWS , and you will engage with stakeholders to shape their roadmaps, architectures and success.

You'll partner with internal engineering teams, product teams and business stakeholders — translating business objectives into scalable technical solutions, delivering hands-on implementation when needed, and ensuring those solutions deliver tangible outcomes.

What You'll Do

• Stakeholders Engagement & Solution Design
• Serve as a trusted advisor to stakeholders : understand their business goals, data challenges, ML / AI ambitions, and define technical strategies accordingly.
• Architect end-to-end data & ML solutions on Databricks + AWS : from ingestion, storage, processing, feature engineering, to model training, serving, monitoring and operations.
• Present and demonstrate solution architectures, proof-of-concepts, and reference implementations to technical & non-technical stakeholders.
• Platform Architecture & Implementation
• Define and evolve the architecture for our unified data & ML platform : 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 (engineering, data science, ops).
• 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

Why Join Us

Benefits

Skills Required

S3, Airflow, Cloudformation, Emr, Sql, Terraform, glue , Spark, Databricks, Python, Kubernetes, Aws