Azure Databricks Architect

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 15+ 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.