Databricks Data Architect

Unison Group; Kuala Lumpur; On-site; MYR 120,000 - 190,000; Full time

Job summary

Unison Group is seeking a hands-on Data Engineer with deep Databricks expertise to design, build, and operationalize Lakehouse-based data and AI solutions. You will own implementation tasks, lead technical delivery, and mentor engineering teams in data governance and ML workflows.

Responsibilities include building scalable data pipelines with Delta Live Tables, tuning ETL, administering Databricks Workspaces and Unity Catalog, and enabling cost-efficient, observable deployments using Terraform,

Qualifications

• Hands-on Databricks experience designing and building Lakehouse platforms.
• Expertise with Delta Lake, Delta Live Tables, and Unity Catalog.
• Proficiency in Python or Scala for data engineering and ML workflows.

Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables, Spark SQL, Python, or Scala.
• Optimize ETL, streaming, and ML workloads for performance and cost.
• Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies.
• Automate infrastructure with Terraform, Git, and CI/CD pipelines.
• Implement observability, cost optimization, and monitoring with Splunk/Prometheus/CloudWatch.
• Collaborate with customers to build AI and LLM solutions using MLflow, DBRX, Mosaic AI.

Skills

Databricks hands-on

Delta Lakehouse, DLT, Unity Catalog

Python

Scala

Cloud ecosystems (AWS/Azure/GCP)

Tools

Terraform

Git

CI/CD pipelines

Splunk

Prometheus

CloudWatch

MLflow

DBRX

Mosaic AI

Databricks Workspaces

Unity Catalog

Job description

• We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions.
• In this role, you'll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You'll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI

• We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions.
• In this role, you'll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You'll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI

Key Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala
• Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability
• Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines
• Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch
• Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI

Requirements

• Required Skills & Experience

• Strong hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses
• Proficiency in Python or Scala for data engineering and ML workflows
• Strong understanding of AWS, Azure, or GCP cloud ecosystems
• Experience with Terraform automation, DevOps, and MLOps practices
• Familiarity with monitoring and governance frameworks for large-scale data platforms

Good to Have Skills:

• Machine Learning, Deep Learning, NLP, or Generative AI
• Designing distributed and scalable systems
• API-first and microservices architecture
• Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
• Data platforms (Spark, Databricks, Snowflake)