Databricks Data Architect

UNISON Group; California City (CA); On-site; USD 94,000 - 142,000; Full time

Job summary

UNISON Group in Singapore seeks a hands-on Databricks expert to design, build, and optimize Lakehouse-based data and AI solutions for enterprise customers. You’ll own implementation tasks, lead technical delivery, and mentor teams in data engineering and governance.

Focus areas include Delta Live Tables, Delta Lake, Unity Catalog, and multi-cloud data platforms. You’ll also work with Terraform, CI/CD, MLflow, and monitoring practices to deliver scalable, cost-efficient solutions.

Qualifications

• Hands-on Databricks experience required.
• Expertise in Delta Lake, DLT, Unity Catalog and SQL Warehouses.
• Proficiency in Python or Scala for data eng and ML workflows.
• Strong understanding of cloud ecosystems (AWS/Azure/GCP).
• Experience with Terraform automation, DevOps, and MLOps practices.
• Familiarity with monitoring and governance frameworks for large-scale data platforms.

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 Databricks Workspaces, Unity Catalog, and cluster policies for secure environments.
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
• Implement observability, cost optimization, and monitoring frameworks.

Skills

Databricks

Delta Lake

Delta Live Tables

Unity Catalog

SQL Warehouses

Python

Scala

Cloud platforms (AWS/Azure/GCP)

Terraform

MLOps

Monitoring

Education

Bachelor's degree in a relevant field

Tools

Databricks Workspaces

Unity Catalog

Git

CI/CD pipelines

Monitoring tools (Splunk/Prometheus/CloudWatch)

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.

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.

Work Location: Singapore

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)