Senior Databricks Consultant / Architect

Singapore
Full-time
Posted Nov 13, 2026

Skills

Apache Spark
CI/CD
Git
Microsoft Azure
Python
SQL
AWS
Communication
Google Cloud
Machine Learning
Problem Solving
Terraform

Job description

Role Overview

We are looking for an experienced Senior Databricks Consultant / Architect to lead the design, architecture, development, and implementation of enterprise-scale data engineering and analytics solutions using Azure Databricks. The ideal candidate should have strong expertise in Lakehouse architecture, PySpark, Delta Lake, cloud data platforms, and data governance.

Key Responsibilities

•Design and architect scalable, secure, and high-performance Lakehouse solutions using Databricks.

•Lead end-to-end data engineering and data platform implementation.

•Define enterprise data architecture, standards, best practices, and technical roadmaps.

•Design and implement data pipelines using PySpark, Spark SQL, Delta Lake, and Databricks Workflows.

•Develop and optimize ETL/ELT pipelines for batch and streaming data processing.

•Implement Medallion Architecture (Bronze, Silver, Gold) and Delta Live Tables (DLT).

•Work extensively with Unity Catalog for data governance, security, access control, and lineage.

•Integrate Databricks with Azure services such as ADLS Gen2, Azure Data Factory, Event Hubs, and Azure Key Vault.

•Optimize Spark workloads, cluster configurations, SQL queries, and overall platform performance.

•Implement CI/CD pipelines, automated deployments, and DevOps practices.

•Provide technical leadership, conduct design reviews, and mentor data engineering teams.

•Collaborate with business stakeholders, architects, and engineering teams to translate business requirements into technical solutions.

Mandatory Technical Skills

•Strong hands-on experience with Azure Databricks and Apache Spark .

•Expertise in PySpark, Spark SQL, Python, and SQL.

•Strong knowledge of Delta Lake and Lakehouse architecture.

•Experience implementing Medallion Architecture.

•Expertise in Unity Catalog, Delta Live Tables (DLT), and Auto Loader.

•Strong understanding of ETL/ELT design and data pipeline development.

•Experience with Azure Data Lake Storage (ADLS Gen2) and Azure Data Factory.

•Knowledge of Databricks Workflows, cluster management, and performance tuning.

•Experience with data security, governance, and access management.

•Hands-on experience with Git, Azure DevOps, and CI/CD.

Good to Have

•Experience with AWS Databricks or GCP Databricks.

•Knowledge of Kafka, Event Hubs, and real-time data streaming.

•Experience with Databricks SQL and Lakehouse Monitoring.

•Knowledge of Terraform and Infrastructure as Code.

•Experience with MLflow and the Databricks Machine Learning ecosystem.

•Databricks Professional-level certifications.

Candidate Profile

•Strong experience in enterprise data architecture and large-scale data engineering implementations.

•Ability to independently drive architecture decisions and technical delivery.

•Excellent communication, stakeholder management, and problem-solving skills.

•Ability to work with cross-functional teams and provide technical direction.