Databricks Data Architect

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

Job summary

Unison Group is seeking a hands-on Databricks Specialist to design, implement, and optimize Lakehouse-based data and AI solutions. You will own Delta Lakehouse architectures, lead technical delivery, and mentor engineering teams in data governance and AI best practices.

The role focuses on building scalable pipelines with DLT, Spark SQL, Python/Scala, and managing Databricks environments across AWS/Azure/GCP, with Terraform automation and strong observability requirements.

Qualifications

• Hands-on Databricks expertise with Delta Lake, DLT, and Unity Catalog.
• Strong SQL/Scala/Python for data engineering and ML workflows.
• Experience with AWS/Azure/GCP cloud ecosystems and Terraform automation.
• Familiarity with MLOps practices and CI/CD for data/AI 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 efficiency.
• Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for governed environments.
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.

Skills

Databricks

Delta Lake

Delta Live Tables

Unity Catalog

SQL Warehouses

Python

Scala

Cloud platforms

Terraform

MLOps

DevOps

Monitoring/Observability

Tools

MLflow

Kubeflow

SageMaker

CI/CD 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)