Job Description

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
1. 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.

2. 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.

3. 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.

4. 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 & 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 are 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's events (team building, coffee run, blue card...)
• Work-life balance 40-hr per week from Mon to Fri.

Skills Required