Databricks Solution Architect (Data Engineering, AI & MLOps)

Job SummaryWe are seeking a highly skilled and hands-on Databricks Solution Architect with deep expertise in designing, building, and optimizing Lakehouse-based Data Engineering, Machine Learning, and AI solutions on the Databricks platform. This contract role is based in Singapore, offering flexibility to work on-site with enterprise clients or remotely within the region.The ideal candidate will have strong experience in architecting modern data platforms, implementing scalable data pipelines, enabling MLOps, and delivering AI/LLM use cases using Databricks technologies. You will lead technical solution design, mentor engineering teams, and collaborate closely with business stakeholders to deliver secure, scalable, and high-performance data solutions.Key Responsibilities Design, architect, and implement enterprise-scale Databricks Lakehouse solutions for analytics, data engineering, machine learning, and AI workloads. Develop scalable batch and streaming data pipelines using Delta Live Tables (DLT), Apache Spark, Spark SQL, Python, and Scala. Build, optimize, and maintain Delta Lake architectures for high-performance data processing. Configure and administer Databricks Workspaces, Unity Catalog, SQL Warehouses, clusters, and job orchestration. Design secure, governed, and compliant data platforms using Unity Catalog, access controls, and data governance best practices. Implement Infrastructure as Code (IaC) using Terraform and automate deployments through Git-based CI/CD pipelines. Optimize ETL, ELT, streaming, and machine learning workloads for performance, scalability, cost efficiency, and reliability. Build and operationalize MLOps pipelines using MLflow, model registry, experiment tracking, and automated model deployment. Develop AI and Generative AI solutions leveraging DBRX, Mosaic AI, Retrieval-Augmented Generation (RAG), and LLM frameworks. Integrate enterprise AI services such as OpenAI, Amazon Bedrock, Azure OpenAI, or Hugging Face where applicable. Implement monitoring, observability, and cost optimization using Splunk, Prometheus, CloudWatch, or similar monitoring platforms. Collaborate with cross-functional teams, business stakeholders, architects, and customers to define technical roadmaps and deliver enterprise data solutions. Provide technical leadership, conduct architecture reviews, and mentor engineering teams on Databricks and cloud best practices. Required Skills & Experience 8+ years of experience in Data Engineering, Big Data, Cloud Data Platforms, or Analytics. 4+ years of hands-on experience with the Databricks platform. Strong expertise in: Databricks Workspaces Delta Lake Delta Live Tables (DLT) Unity Catalog SQL Warehouses Notebooks Job orchestration Strong programming skills in Python and/or Scala. Extensive experience with Apache Spark and Spark SQL. Strong knowledge of Lakehouse architecture, data modeling, ETL/ELT design, and streaming data processing. Experience implementing MLOps practices using MLflow, model lifecycle management, and automated deployment pipelines. Hands-on experience with Terraform, Git, Azure DevOps, GitHub Actions, or Jenkins. Strong understanding of cloud platforms: AWS Microsoft Azure Google Cloud Platform (GCP) Experience implementing security, governance, and data access controls using Unity Catalog. Experience with monitoring, logging, and observability tools. Strong problem-solving, communication, and stakeholder management skills.

Job Summary

We are seeking a highly skilled and hands-on Databricks Solution Architect with deep expertise in designing, building, and optimizing Lakehouse-based Data Engineering, Machine Learning, and AI solutions on the Databricks platform. This contract role is based in Singapore, offering flexibility to work on-site with enterprise clients or remotely within the region.

The ideal candidate will have strong experience in architecting modern data platforms, implementing scalable data pipelines, enabling MLOps, and delivering AI/LLM use cases using Databricks technologies. You will lead technical solution design, mentor engineering teams, and collaborate closely with business stakeholders to deliver secure, scalable, and high-performance data solutions.

Key Responsibilities

• Design, architect, and implement enterprise-scale Databricks Lakehouse solutions for analytics, data engineering, machine learning, and AI workloads.
• Develop scalable batch and streaming data pipelines using Delta Live Tables (DLT), Apache Spark, Spark SQL, Python, and Scala.
• Build, optimize, and maintain Delta Lake architectures for high-performance data processing.
• Configure and administer Databricks Workspaces, Unity Catalog, SQL Warehouses, clusters, and job orchestration.
• Design secure, governed, and compliant data platforms using Unity Catalog, access controls, and data governance best practices.
• Implement Infrastructure as Code (IaC) using Terraform and automate deployments through Git-based CI/CD pipelines.
• Optimize ETL, ELT, streaming, and machine learning workloads for performance, scalability, cost efficiency, and reliability.
• Build and operationalize MLOps pipelines using MLflow, model registry, experiment tracking, and automated model deployment.
• Develop AI and Generative AI solutions leveraging DBRX, Mosaic AI, Retrieval-Augmented Generation (RAG), and LLM frameworks.
• Integrate enterprise AI services such as OpenAI, Amazon Bedrock, Azure OpenAI, or Hugging Face where applicable.
• Implement monitoring, observability, and cost optimization using Splunk, Prometheus, CloudWatch, or similar monitoring platforms.
• Collaborate with cross-functional teams, business stakeholders, architects, and customers to define technical roadmaps and deliver enterprise data solutions.
• Provide technical leadership, conduct architecture reviews, and mentor engineering teams on Databricks and cloud best practices.

Required Skills & Experience

• 8+ years of experience in Data Engineering, Big Data, Cloud Data Platforms, or Analytics.
• 4+ years of hands-on experience with the Databricks platform.
• Strong expertise in:
• Databricks Workspaces
• Delta Lake
• Delta Live Tables (DLT)
• Unity Catalog
• SQL Warehouses
• Notebooks
• Job orchestration
• Strong programming skills in Python and/or Scala.
• Extensive experience with Apache Spark and Spark SQL.
• Strong knowledge of Lakehouse architecture, data modeling, ETL/ELT design, and streaming data processing.
• Experience implementing MLOps practices using MLflow, model lifecycle management, and automated deployment pipelines.
• Hands-on experience with Terraform, Git, Azure DevOps, GitHub Actions, or Jenkins.
• Strong understanding of cloud platforms:
• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)
• Experience implementing security, governance, and data access controls using Unity Catalog.
• Experience with monitoring, logging, and observability tools.
• Strong problem-solving, communication, and stakeholder management skills.

Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance. Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions. We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations. Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field.

Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance. Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions.

Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions. We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential.

At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations. Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field.