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 in office with enterprise clients or remotely within the region.
The ideal candidate will have robust experience in architecting contemporary 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 H

📌 Databricks Solution Architect Hyderabad
🏢 Unison Group
📍 Hyderabad