Databricks Data Architect

Unison Group; California City (CA); On-site; USD 94,000 - 141,000; Full time

Job summary

Unison Group is seeking a hands-on Databricks engineer to design, develop, and operationalize lakehouse-based data and AI solutions in a Singapore-based role. You will own implementation tasks, lead technical delivery, and mentor teams in data engineering, governance, and AI practices.

The role focuses on Delta Live Tables, ML workloads, and scalable pipelines, with a strong emphasis on security, observability, and cloud-enabled data platforms.

Qualifications

• Hands-on Databricks experience across notebooks, jobs, and cluster orchestration.
• Deep knowledge of Delta Lake, Delta Live Tables, and Unity Catalog.
• Proficient 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 efficiency.
• Administer and secure Databricks Workspaces, Unity Catalog, and cluster policies.
• Automate infrastructure and deployments with Terraform, Git, and CI/CD.
• Implement observability and monitoring using Splunk, Prometheus, or CloudWatch.
• Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Skills

Databricks

Delta Lake

DLT

Unity Catalog

Python

Scala

Cloud platforms

Terraform

MLOps

Monitoring

Governance

Tools

MLflow

Kubeflow

SageMaker

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

• 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

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)