# Databricks Solution Architect (Data Engineering, AI & MLOps)

> Unison Group · Singapore, Singapore · — · Posted 2026-07-06

**Workplace:** on_site

**Department:** Bharat

## Description

### 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.

## Apply

[Apply at Unison Group](https://apply.workable.com/unisongroup/j/20D82567A4/apply)

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