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.
- 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.
- 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.
