Azure Databricks Solution Architect
2T Consulting
Job Summary
We are seeking an Azure Databricks Solution Architect to lead the architecture, design, and implementation of scalable, secure, and high-performance data platforms on Microsoft Azure. This is a hands-on role requiring both architectural leadership and direct technical contribution to solution design, development, optimization, and delivery. The ideal candidate will drive platform strategy while building proof-of-concepts, reference architectures, and production-grade data solutions.
Roles and Responsibilities
Own the end-to-end architecture of Azure Databricks-based data platforms, including data ingestion, transformation, storage, governance, and consumption layers.
Design reusable data frameworks, ELT patterns, and scalable data models.
Develop and optimize Spark jobs and data pipelines with a focus on performance, scalability, reliability, and cost optimization.
Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and other Azure services.
Define platform governance, security, coding standards, and best practices.
Collaborate with business analysts, functional teams, and engineering teams to translate business requirements into technical solutions.
Conduct architecture reviews, code reviews, troubleshooting, and production support for complex data workloads.
Drive cloud modernization initiatives and adoption of Azure-native data and analytics services.
Required Qualifications
12+ years of experience in Data Engineering, Data Architecture, or Platform Engineering.
Strong hands-on experience with Azure Databricks, Apache Spark, Python or Scala, SQL, and Delta Lake.
Proven experience designing and implementing enterprise data lakes, cloud data platforms, and analytical data stores.
Experience with Azure DevOps, CI/CD pipelines, and automated deployment practices.
Strong hands-on implementation experience with enterprise-scale Azure data solutions.
Excellent analytical, problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
Experience in the Financial Services or Insurance domain.
Knowledge of Azure Event Hubs, Azure Cosmos DB, Azure Synapse Analytics, or other Azure analytics services.
Microsoft Azure and/or Databricks certifications.
Experience developing reusable frameworks, shell scripting, and supporting large-scale production environments.
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