Sr Consultant Databricks

Unison Group; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Unison Group in Singapore seeks a hands-on Databricks specialist to design, build, and operationalize Delta Lakehouse solutions for enterprise customers.

You will lead technical delivery, mentor engineers, and drive best practices across data engineering, governance, and AI initiatives within a governed, scalable environment.

Qualifications

• 6 to 10 years of hands-on Databricks experience with lakehouse architecture.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Proficiency in Python or Scala for data engineering and ML workflows.

Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables and Spark.
• Optimize ETL, streaming, and ML workloads for performance and cost.
• Administer Databricks Workspaces, Unity Catalog, and cluster policies.
• Automate infrastructure and deployments with Terraform, Git, and CI/CD.
• Implement observability and monitoring using Splunk or CloudWatch.

Skills

Databricks hands-on

Delta Lake

Unity Catalog

SQL Warehouses

Python

Scala

AWS

Azure

GCP

Terraform

DevOps

MLOps

MLflow

DBRX

Mosaic AI

Git

CI/CD

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

• 6 to10 Years for 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.