TymeX, Millers Point, New South Wales, Australia
Overview
Senior / Lead Platform Engineer (Databricks) role at TymeX. This position owns the design, implementation and operation of core data, analytics and ML infrastructure. The role spans platform architecture, DevSecOps, DataOps, and ML infrastructure, combining strategic leadership with hands-on execution. You will build, integrate and operate platforms on AWS and Databricks, enabling scalable, secure, production-grade ML / AI solutions.
Responsibilities
- Architect and implement end-to-end data and ML platforms : data lakes, warehouses, streaming and batch pipelines, model training / deployment infrastructure, on AWS + Databricks.
- Lead DevSecOps and DataOps practices : infrastructure as code (IaC), CI / CD pipelines for data & ML workflows, secure multi-account / multi-region cloud operations.
- Integrate AWS services (e.g., S3, Redshift, Kinesis, Lambda, EKS / ECS) with Databricks runtime, Delta Lake, Unity Catalog etc to build scalable, performant pipelines.
- Build and operate ML infrastructure : training clusters, model versioning, MLOps toolchain (e.g., MLflow), model monitoring and observability, automatic retraining workflows.
- Establish data governance, lineage, quality and observability standards across data pipelines and ML workflows.
- Mentor engineering teams, define architectural best practices and guide implementation of high-scale data / ML systems.
- Optimize system performance, cost and scalability; diagnose and resolve large-scale production issues.
- Continuously evaluate new tools and technologies in cloud, data platform, DevSecOps, ML infrastructure and apply them to drive innovation.
Requirements
7+ years of experience in data platform architecture, cloud / ML infrastructure engineering or related roles.Deep technical expertise in Databricks and AWS : demonstrated ability to design, integrate and operate solutions spanning both platforms.Strong hands-on implementation skills : you will not just design but build, deploy and operate the platform.Proven track record of building and operating scalable ML / AI platforms in production (model training & deployment).Expertise in Apache Spark, Delta Lake, modern data pipeline frameworks (batch + streaming).Strong background in infrastructure as code (Terraform, CloudFormation), CI / CD for data / ML, and DevSecOps practices.Proficiency in Python and SQL; familiarity with Scala or equivalent is a plus.Experience with data governance, data lineage, observability and MLOps frameworks (e.g., MLflow, Airflow, dbt).Bonus : Experience in fintech, regulated industries or high-security environments.Benefits
Performance bonus up to 2 months13th month salary pro-rata15-day annual leave + 3-day sick leave + 1 birthday leave + 1 Christmas leaveMeal and parking allowance covered by the companyFull benefits and salary rank during probationInsurance as Vietnamese labor law and premium health care for you and your familySMART goals and clear career opportunities (technical seminars, conferences, career talks)Values-driven, international working environment and agile cultureOverseas travel opportunities for training and work-related activitiesInternal Hackathons and company eventsWork-life balance : 40 hours per week, Mon to Fri#J-18808-Ljbffr