# Senior/ Lead Platform Engineer (Databricks)

> GoTymeX · Ho Chi Minh City, Vietnam (Hybrid) · Full-time · Posted 2025-10-24

**Workplace:** hybrid

**Department:** Data

## Description

**Role Overview** 

We are seeking a **Senior/Lead Platform Engineer** who will take ownership of the design, implementation and operation of our core data, analytics and ML infrastructure. This role spans across **platform architecture, DevSecOps, DataOps, and ML infrastructure**, and requires a combination of strategic thought leadership and hands-on execution. You will build, integrate and operate platforms on **AWS and Databricks**, enabling scalable, secure, production-grade ML/AI solutions. 

**Key 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, 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 the areas of 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 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.

## Apply

[Apply at GoTymeX](https://apply.workable.com/gotymex/j/813A1A590D/apply)

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