Azure Databricks Architect

 Own the end-to-end architecture for Azure Databricks-based data platforms, includingingestion, transformation, storage, serving, and governance layers. 

 Design reusable frameworks, ELT patterns, and data models that improvedelivery speed, consistency, and maintainability. 

 Build and optimize pipelines and Spark jobs directly, with a strong focus onperformance, reliability, and cost efficiency. 

 Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure DataFactory, and related Azure platform services. 

 Establish governance, security and code-quality standards for the platform. 

 Partner closely with business analysts, functional teams, and engineeringteams to translate requirements into working solutions. 

 Guide troubleshooting, code reviews, and production support for complexdata workloads. 

 Drive modernization and cloud-native adoption across data and analyticscapabilities. 

 12+ years of experience in data engineering, data architecture, or platformengineering. 

 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. 

 Experience in financial services or insurance. 

 Knowledge of Event Hub, Cosmos DB, Azure Synapse, or other Azureanalytics services. 

 Databricks or Microsoft Azure certifications. 

 Experience with reusable frameworks, shell scripting, and production supportin large-scale environments.