Databricks Solution Architect – AI & Lakehouse | Singapore

Location

Singapore

Job Category

• Information Technology (IT) & Software
• Engineering & Technical
• Science & Research

Job Overview

Unison Group is seeking an experienced Databricks Solution Architect to design and deliver enterprise-scale data, AI, and Lakehouse solutions. The position requires extensive experience in AI and Databricks, with strong hands-on expertise across the Databricks platform and modern cloud data engineering ecosystems.

The successful candidate will work with technologies including Delta Lake, Delta Live Tables, Unity Catalog, SQL Warehouses, Apache Spark, Python or Scala, and cloud platforms such as AWS, Azure, or GCP. The role also involves modern DevOps and MLOps practices, including Terraform, Git, CI/CD, MLflow, and AI-focused Databricks technologies.

This is a senior technical opportunity offering significant career growth and professional development in enterprise data architecture, Lakehouse engineering, artificial intelligence, and machine learning. The position provides exposure to modern data platforms and the opportunity to design scalable solutions supporting enterprise AI and analytics initiatives.

Key Responsibilities

• Design enterprise-scale Lakehouse and AI architectures using Databricks.
• Develop scalable data and AI solutions aligned with business and technical requirements.
• Implement and optimize Databricks-based data engineering and analytics workloads.
• Design solutions using Delta Lake, Delta Live Tables (DLT), Unity Catalog, and SQL Warehouses.
• Develop and optimize Apache Spark workloads using Python or Scala.
• Design cloud-based data solutions across AWS, Azure, or GCP environments.
• Implement infrastructure automation using Terraform.
• Establish and maintain Git-based development and version-control practices.
• Support CI/CD pipelines and DevOps processes for data and AI solutions.
• Implement MLOps practices for machine learning lifecycle management.
• Work with MLflow and modern Databricks AI technologies, including DBRX and Mosaic AI.
• Design and optimize ETL and real-time streaming solutions.
• Collaborate with data engineers, data scientists, DevOps teams, and business stakeholders.
• Provide technical guidance and architectural direction across data and AI initiatives.
• Ensure solutions meet requirements for scalability, security, governance, reliability, and performance.

Requirements & Qualifications

• 10+ years of professional experience in AI, data engineering, data architecture, or related technology domains.
• Extensive hands-on experience with Databricks.
• Strong expertise in Delta Lake and modern Lakehouse architecture.
• Experience with Delta Live Tables (DLT).
• Strong understanding of Unity Catalog and Databricks SQL Warehouses.
• Strong Apache Spark experience.
• Proficiency in Python and/or Scala.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Experience with Terraform and infrastructure-as-code practices.
• Strong knowledge of Git, CI/CD, DevOps, and MLOps.
• Experience with MLflow and modern machine learning workflows.
• Knowledge of DBRX and Mosaic AI is required or highly relevant.
• Experience developing ETL and streaming solutions.
• Strong understanding of enterprise data architecture and AI solution design.
• Excellent technical communication, problem-solving, and stakeholder-management skills.

Benefits & Career Growth

• Senior architectural opportunity within an enterprise technology environment.
• Exposure to large-scale Databricks Lakehouse and AI implementations.
• Professional development across Databricks, cloud architecture, AI, ML, DevOps, and MLOps.
• Opportunity to work with modern technologies including Delta Lake, Unity Catalog, MLflow, and Mosaic AI.
• Continued technical upskilling in enterprise data and artificial intelligence architecture.
• Strong opportunities for career progression in Solution Architecture, Data Architecture, and AI Engineering.
• Opportunity to contribute to complex enterprise-scale data and AI transformation initiatives.

Application Process

Application Process (Website)

Apply only through the official job link.

Click Apply Now on the website to access the official application process and HR contact information.

HR Email for Application

Send your updated CV directly

Candidates should highlight their Databricks, AI, Lakehouse architecture, cloud, DevOps, and MLOps experience in their CV.