Databricks Architect

We are seeking a Azure Databricks Architect to define and lead the architecture of scalable, secure, and high-performance data platforms on Microsoft Azure. This role is hands-on and requires both architectural leadership and direct contribution to design, development, optimization, and delivery. The ideal candidate will shape platform strategy while actively building proof-of-concepts, reference implementations, and production-grade solutions.

Own the end-to-end architecture for Azure Databricks-based data platforms, including ingestion, transformation, storage, serving, and governance layers.
Design reusable frameworks, ELT patterns, and data models that improve delivery speed, consistency, and maintainability.
Build and optimize pipelines and Spark jobs directly, with a strong focus on performance, reliability, and cost efficiency.
Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure Data Factory, and related Azure platform services.
Establish governance, security and code-quality standards for the platform.
Partner closely with business analysts, functional teams, and engineering teams to translate requirements into working solutions.
Guide troubleshooting, code reviews, and production support for complex data workloads.
Drive modernization and cloud-native adoption across data and analytics capabilities.