Sr Consultant Databricks

Hong Kong Unison Limited; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Hong Kong Unison Limited in Singapore seeks a hands-on Databricks expert to design, develop, and operationalize Lakehouse-based data and AI solutions for enterprise customers. You will own implementations, lead technical delivery, and mentor teams across data engineering, governance, and ML.

You'll build scalable pipelines with Delta Live Tables, Spark SQL, Python or Scala, optimize workloads, configure Unity Catalog and workspace policies, and automate deployments with Terraform and CI/CD.

Qualifications

• Hands-on Databricks experience with Lakehouse architectures and governance.
• Strong knowledge of Delta Lake, DLT, Unity Catalog, and SQL data warehouses.
• Proficiency in Python or Scala for data engineering and ML workflows.

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.

Skills

Databricks

Delta Lake

DLT

Unity Catalog

SQL Warehouses

Python

Scala

AWS

Azure

GCP

Terraform

DevOps

MLOps

Monitoring

Governance

Tools

Terraform

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

Requirements

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.

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