Senior DevOps Databricks Engineer
Ho Chi Minh CityOn-siteFull-time
AI Summary
Senior DevOps Databricks Engineer focuses on platform infrastructure, governance, security, and operations for data/ML platforms on AWS and Databricks, with full administration of Databricks environments.
About this role
About the Role
We are looking for a Databricks Senior DevOps Engineer to design, build, and operate enterprise-grade data and ML platforms on AWS and Databricks for our Financial Crime platform.
This role focuses on **platform infrastructure, governance, security, and operations **, not pure data engineering or Spark coding. You will have full administrative ownership of the Databricks environment to ensure it is scalable, secure, compliant, and production-ready.
Key Responsibilities
- Architect, build, and operate end-to-end data and ML platforms on AWS and Databricks.
- Own and administer Databricks workspaces for the Financial Crime platform.
- Lead DevSecOps and DataOps practices, including infrastructure-as-code (IaC) and CI/CD pipelines for data and ML workflows.
- Configure and optimize Databricks compute clusters (job clusters and all-purpose clusters) for performance, scalability, and cost efficiency.
- Manage and enforce governance through Unity Catalog, including access control, security policies, data lineage, and isolation.
- Build and operate ML infrastructure, including model deployment and serving endpoints.
- Integrate AWS services (e.g., S3, Redshift, Kinesis, Lambda, EKS/ECS) with Databricks runtime and Delta Lake.
- Implement platform security best practices, including secrets management, audit logging, and compliance controls.
- Optimize system performance and diagnose large-scale production issues.
- Mentor engineering teams and define architectural best practices for high-scale data and ML systems.
Requirements
- 7+ years of experience in data platform architecture, cloud infrastructure, or ML platform engineering.
- Strong enterprise-level experience with Databricks and AWS.
- Deep expertise in Unity Catalog governance and security models.
- Hands-on experience designing, deploying, and operating Databricks clusters in production.
- Experience managing Model Serving / ML deployment infrastructure.
- Strong implementation mindset — able to design, build, deploy, and operate platforms end-to-end.
- Experience operating in regulated environments (banking/fintech preferred).
Nice to Have
- Infrastructure-as-Code (e.g., Terraform).
- Multi-account / multi-region cloud architecture experience.
- Experience in financial crime, risk, AML, or fraud analytics platforms.
Benefits
- 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
- 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
- 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.
Skills
Audit LoggingAWSCI/CDCluster ManagementCompliance ControlsDatabricksData GovernanceDelta LakeECSEKSIaCIAMKinesisLambdaML Deployment InfrastructureModel ServingProduction DeploymentRedshiftS3Secrets ManagementSecurityTerraformUnity Catalog
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