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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data -AI -Architect - **Company:** MATRIX - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Storage, Databases, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Data Warehousing, Database Design, Dimensional Modeling, Github, Apache Hadoop, Apache Hive, Power BI, Azure Machine Learning, SQL Databases, Data Streaming, Strategies of Testing, Azure Service Bus, Azure Data Factory, Software Troubleshooting, Data Strategy, Microsoft Fabric, Data Lakes, Pyspark, Collibra, Star Schema, Bicep, Data Management, Database Replication, Machine Learning Operations, Cloud Migration, Terraform, Stream Analytics, Data Pipelines, Azure Resource Manager, Key Vault, Legacy Systems, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b9c9310d05771935 ## About the Role Technical Skills * 5+ years of hands-on experience as a data architect or senior data engineer in Azure environments * Deep expertise in Azure Databricks including Unity Catalog, Delta Lake, cluster optimization, and workspace administration * Strong experience with Microsoft Fabric including Data Factory, Data Warehouse, OneLake, and Power BI integration * Proven track record of leading and executing 3+ cloud migration projects involving large-scale data platforms * Expert-level proficiency in PySpark, SQL, and Python for data processing and transformation * Hands-on experience with Azure services: Data Lake Storage Gen2, Synapse Analytics, Data Factory, Event Hubs, Key Vault * Strong understanding of data modeling (star schema, dimensional modeling, data vault) and database design principles * Experience implementing CI/CD pipelines for data workloads using Azure DevOps or GitHub Actions Consulting & Soft Skills * 5 + years of client-facing consulting experience in a professional services or solution architect role * Excellent communication skills with ability to explain complex technical concepts to non-technical audiences * Demonstrated ability to gather requirements, manage stakeholder expectations, and drive consensus * Strong presentation and workshop facilitation skills * Experience managing competing priorities across multiple client engagements * Self-motivated with ability to work independently and drive projects to completion Preferred Qualifications * Microsoft Azure certifications (DP-203, AZ-305, or equivalent) * Databricks certification (Associate or Professional level) * Experience with data governance tools (Purview, Unity Catalog) * Knowledge of machine learning operations (MLOps) and ML platforms * Experience with infrastructure-as-code (Terraform, Bicep) * Background in specific industries such as financial services, healthcare, retail, or manufacturing MUST !! Ability to build and develop AI use cases from concept through implementation. * Experience in building end-to-end AI solutions, from use case definition and architecture to development and deployment. ## Description We are seeking an experienced Azure Data Architect with deep hands-on expertise in cloud data migration, scalable architecture design, and modern data platforms. This role requires a technical leader who can architect and implement enterprise-scale data solutions while working directly with clients to translate business requirements into robust technical solutions., Architecture & Technical Leadership * Design and implement scalable, high-performance data architectures on Azure Databricks and Microsoft Fabric * Lead end-to-end cloud migration projects, moving on-premises data platforms to Azure-native solutions * Build data Lakehouse architectures leveraging Delta Lake, Unity Catalog, and Fabric OneLake * Establish data governance frameworks, security protocols, and compliance standards across cloud environments * Define technical standards, best practices, and reference architectures for data solutions Hands-On Implementation * Develop and optimize ETL/ELT pipelines using Azure Data Factory, Databricks workflows, and Fabric Data Pipelines * Implement real-time streaming architectures using Event Hubs, Stream Analytics, and Databricks Structured Streaming * Build performance-optimized data models and queries in SQL, PySpark, and Spark SQL * Configure and optimize Azure resources including storage accounts, compute clusters, and networking * Troubleshoot complex technical issues across the entire data stack Client Engagement & Consulting * Serve as a trusted technical advisor to clients, understanding their business challenges and data strategy goals * Lead discovery workshops and architecture design sessions with stakeholders and technical teams * Present technical recommendations and architecture proposals to executive leadership * Provide hands-on mentorship and knowledge transfer to client teams * Manage multiple client engagements simultaneously while maintaining high-quality delivery Migration Expertise * Assess legacy systems and develop comprehensive migration strategies and roadmaps * Execute large-scale data migrations from on-premises databases, Hadoop clusters, and other cloud platforms to Azure * Implement data replication, synchronization, and validation strategies during migration * Minimize downtime and risk through phased migration approaches and rollback procedures ## Related Videos - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)