Databricks Solution Architect

Unison Group; Sydney; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

None

Job summary

Unison Group in Sydney seeks a hands-on Databricks Data Architect to design and operationalize Delta Lakehouse architectures, driving enterprise AI and data solutions.

You will own implementation tasks, lead technical delivery, mentor teams, and collaborate across data engineering, governance, and ML workflows using MLflow, Mosaic AI, and cloud ecosystems.

The role emphasizes performance, cost efficiency, observability, and secure, governed environments with Terraform, CI/CD, and Unity Catalog.

Qualifications

• 10+ years' hands-on Databricks experience including workspace setup and job orchestration.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Strong experience with Spark (8+ years).
• Proficiency in Python or Scala for data engineering and ML workflows.
• Solid 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.

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.

Skills

Databricks

Delta Lake

DLT

Spark

Python

Scala

Cloud (AWS/Azure/GCP)

Terraform

MLOps

Monitoring

Tools

Terraform

Git

CI/CD

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.

Required Skills & Experience

• Strong 10+ hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Strong 8+ Years of experience with Spark
• 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.