Azure 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. Key responsibilities • 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. Must-have qualifications • 12+ years of experience in data engineering, data architecture, or platform engineering. • Strong hands-on experience with Azure Databricks, Spark, Python/Scala, SQL, and Delta Lake. • Proven experience designing and implementing cloud data hubs, data lakes, and analytical data stores. • Experience with Azure DevOps, CI/CD, and automated deployment practices. • Ability to work directly on technical implementation, not only provide oversight. • Strong communication and stakeholder collaboration skills. Preferred qualifications • Experience in financial services or insurance. • Knowledge of Event Hub, Cosmos DB, Azure Synapse, or other Azure analytics services. • Databricks or Microsoft Azure certifications. • Experience with reusable frameworks, shell scripting, and production support in large-scale environments.