Hybrid Senior/Lead Platform Engineer – Databricks

at Tyme

• Job title: Senior/Lead Platform Engineer – Databricks
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Amazon Redshift, Apache, AWS, Cloud, Python, Scala, Spark, SQL, Terraform, Unity
• Location requirements: Hybrid, Ho Chi Minh City, Vietnam

About the role

• Seeking a Senior/Lead Platform Engineer responsible for architecting and implementing scalable data and ML platforms. Focusing on AWS and Databricks, while leading DevSecOps practices.

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.