Senior Databricks Developer

Role - Databricks Data Engineer

Location: Thailand

Employment Type: Long term

Experience: 8+ Years

Role Overview

We are seeking a hands-on Lead Databricks Data Engineer to design, develop, and optimize enterprise-scale data pipelines and AI-ready data platforms using Databricks and AWS.

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines using Databricks, PySpark, Python, and Advanced SQL.
• Implement Delta Lake and Medallion Architecture (Bronze/Silver/Gold).
• Manage data governance, lineage, and access controls using Unity Catalog.
• Build reusable data models, dimensional models, and AI-ready data products.
• Optimize Spark workloads, clusters, and pipeline performance.
• Implement Git, CI/CD, DataOps, data quality checks, and production monitoring.
• Own end-to-end data engineering delivery, from requirements gathering to production deployment.

Required Skills

• 8+ years of hands-on enterprise data engineering experience.
• Strong production Databricks experience, including PySpark, Delta Lake, and Unity Catalog.
• Expertise in Advanced SQL, Python, Spark, and dimensional data modeling.
• Experience with AWS or another major cloud platform.
• Strong understanding of data governance, performance tuning, and CI/CD.
• Ability to independently design and deliver scalable data engineering solutions.

Preferred Skills

• Databricks Genie / AI/BI, semantic layers, and AI-ready data products.
• Manufacturing, Supply Chain, ERP/MES, or Tableau experience.
• Cloud migration, ML/MLOps, and data platform modernization.