Databricks Solution Architect

Unison Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Unison Group seeks a hands-on Senior Consultant – Databricks in Singapore for a contract role. You will design, develop, and operationalize Delta Lakehouse architectures using Databricks, taking ownership of implementation tasks, leading technical delivery, and mentoring engineering teams in data engineering, governance, and AI.

You’ll design scalable data pipelines with Delta Live Tables, optimize ETL, streaming, and ML workloads, administer Databricks Workspaces and Unity Catalog, and

Qualifications

• Hands-on Databricks experience including workspace setup 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.
• Familiarity with Terraform automation, DevOps, and MLOps practices.

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 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 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

MLOps

Data Engineering

Governance

Tools

Terraform

Git

CI/CD

MLflow

Splunk

Prometheus

CloudWatch

DBRX

Mosaic AI

Bedrock

OpenAI

Hugging Face

Job description

Job Description

We’re seeking a hands-on Senior Consultant – Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions. This is a contract role based in Singapore, offering flexibility to work on-site with clients or remotely within the region.

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 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.

Nice to Have

Experience developing AI/LLM pipelines and RAG architectures on Databricks.

Exposure to Bedrock, OpenAI, or Hugging Face integrations.

Databricks certifications (Data Engineer, Machine Learning, or Solutions Architect) preferred.