> Markdown version of [/jobs/ext/3852922-azure-databricks-architect-fulltime](https://www.wearedevelopers.com/jobs/ext/3852922-azure-databricks-architect-fulltime). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Databricks Architect - Fulltime - **Company:** Acunor Infotech - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Unity 3d, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Key Management, SQL Azure, Performance Tuning, Azure Active Directory, Azure Data Lake, SQL Databases, Data Streaming, Unstructured Data, Azure Service Bus, Cloud Platform System, Azure Data Factory, Cloud Monitoring, Apache Spark, Git, Data Lakes, AI Platforms, Pyspark, Infrastructure Automation Frameworks, Information Technology, Data Management, Terraform, Stream Processing, Azure Synapse Analytics, Stream Analytics, Serverless Computing, Databricks - **Published:** October 21, 2026 - **Apply:** https://www.dice.com/job-detail/aeb85669-2e38-4a93-949f-3897af2e848f ## About the Role * Azure: Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse Analytics, Azure SQL Database, Azure Event Hub, Azure Service Bus, Azure Functions, Azure Key Vault, Azure Monitor, and Microsoft Entra ID. * Databricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Databricks Workflows, Structured Streaming, Medallion Architecture, cluster optimization, and performance tuning. * Data Engineering: Python, PySpark, SQL, data modeling, ETL/ELT frameworks, data warehousing, and real-time data processing. * DevOps and Automation: Azure DevOps, CI/CD pipelines, Git, and Infrastructure as Code. Terraform is preferred., * Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. * 10+ years of experience in Data Engineering, Cloud Architecture, or Solution Architecture. * 5+ years of hands-on experience with Azure cloud services. * 4+ years of hands-on experience with Databricks and Spark-based solutions. * Demonstrated experience designing enterprise-scale data platforms. * Experience working with large-scale structured and unstructured datasets. * Strong stakeholder management and client-facing communication skills. ## Description Acunor is seeking an experienced Lead Architect with strong expertise in Microsoft Azure, Databricks, and modern Data & AI platforms. This role will design and deliver scalable, secure, high-performing enterprise data solutions while working closely with business stakeholders, engineering teams, and clients., * Architect end-to-end data and analytics solutions on Azure and Databricks. * Design scalable platforms supporting batch, streaming, and real-time analytics. * Lead solution design discussions, architecture reviews, and technical governance. * Define data lake, data warehouse, lakehouse, and data mesh architectures. * Translate business requirements into practical technical solutions. * Establish platform security, governance, and compliance standards. * Design data integration frameworks using Azure-native services and Databricks. * Drive performance optimization, cloud cost management, and modernization initiatives. * Provide technical leadership and mentor engineering teams. * Support proposal development, effort estimation, and client presentations. * Ensure alignment with enterprise architecture standards and best practices.