Job Description

We are seeking an experienced

Data Architect

specializing in

Databricks

to lead the architecture, design, and migration of enterprise data workloads from on-premises systems (e.g., Oracle, Exadata, Hadoop) to

Databricks

on

Azure

or

AWS

. The role involves designing scalable, secure, and high-performing data platforms based on the

medallion architecture

(bronze, silver, gold layers), supporting large-scale ingestion, transformation, and publishing of data.



Define and design cloud-native data architecture on Databricks using Delta Lake, Unity Catalog, and related services.


Develop migration strategies for moving on-premises data workloads (Oracle, Hadoop, Exadata, etc.) to Databricks on Azure/AWS.


Architect and oversee data pipelines supporting ingestion, curation, transformation, and analytics in a multi-layered (bronze/silver/gold) model.


Lead data modeling, schema design, performance optimization, and data governance best practices.


Collaborate with data engineering, platform, and security teams to build production-ready solutions.


Create standards for ingestion frameworks, job orchestration (e.g., workflows, Airflow), and data quality validation.


Support cost optimization, scalability design, and operational monitoring frameworks.


Guide and mentor engineering teams during the build and migration phases.