About Us At TymeX, were empowering Tyme Groups digital banking ecosystem across Asia and Africa. Our mission: build a secure, scalable, intelligent data & AI platform that delivers realtime, 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 TymeXs capabilities across data, platform, DevSecOps, DataOps, and ML infrastructure; you will both design and deliver productiongrade systems built on Databricks + AWS, and you will engage with stakeholders to shape their roadmaps, architectures and success. Youll partner within internal engineering teams, product teams and business stakeholderstranslating business objectives into scalable technical solutions, delivering handson implementation when needed, and ensuring those solutions deliver tangible outcomes. What Youll 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 endtoend data & ML solutions on Databricks + AWS: from ingestion, storage, processing, feature engineering, to model training, serving, monitoring and operations. Present and demonstrate solution architectures, proofofconcepts, and reference implementations to technical & nontechnical 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 handson 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 bestpractice 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/AIand 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 handson implementation skills: capable of designing and delivering complex systems end to endinfrastructure, 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. Stakeholderfacing orientation: ability to engage with both technical and business stakeholders, translate requirements into solutions, and present ideas clearly. Solid understanding of DevSecOps, DataOps, observability, costgovernance and platform reliability bestpractices. Excellent communication and collaboration skills; experience working across geographies and in fastmoving, multistakeholder 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 partneryour work directly influences business outcomes. Work with a modern stack: Databricks, AWS, Delta Lake, Spark, MLflow, Terraform, Kubernetes and more. Join a growthoriented team with autonomy, strong technical leadership and the opportunity to make a real impact. Benefits Performance bonus up to 2 months 13th month salary prorata 15day annual leave + 3day 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. Valuesdriven, 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) Worklife balance 40hr per week from Mon to Fri. #J-18808-Ljbffr
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