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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data Architect (remote US) - **Company:** News Corporation - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $110,000.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Big Data, Cloud Database, Computer Programming, Continuous Integration, Data Integrity, Extract Transform Load (ETL), Data Masking, Data Systems, Data Warehousing, DevOps, Dimensional Modeling, Github, Apache Hive, Python (Programming Language), SQL Azure, Performance Tuning, Power BI, Azure Active Directory, DataOps, Azure Data Lake, SQL Databases, Data Processing, Azure Data Factory, Apache Spark, HybridCloud, Microsoft Fabric, Data Lakes, Pyspark, Star Schema, Bicep, Terraform, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d584a94be46cf8b0 ## About the Role Core Experience * 3-5+ years of experience in Data Warehousing, BI, and Cloud Data Engineering. * Proven track record of designing end-to-end data solutions on Microsoft Azure . The Azure Stack - Azure Data Lake Storage (ADLS Gen2), Azure SQL DB, and Synapse Analytics, ADF, Fabric ecosystem Data Modeling & Visualization * Expertise in Dimensional Modeling (Star/Snowflake schemas). * Advanced Power BI skills, including DAX, RLS implementation, and performance tuning for large datasets. Programming & Infrastructure * Strong proficiency in Python (PySpark) and SQL. * Understanding of Infrastructure as Code (ARM templates, Terraform, or Bicep) and hybrid cloud integration. ## Description We are seeking a skilled Azure Data Architect & Engineer to lead the design and implementation of our modern data platform. In this dual-capacity role, you will define the architectural roadmap for our cloud data estate while remaining hands-on in building scalable pipelines, optimizing Spark performance, and migrating legacy workloads into Microsoft Fabric and Azure Synapse ., * Architectural Leadership: Design and implement scalable, secure, and resilient cloud data architectures using the Medallion (Bronze/Silver/Gold) architecture pattern. * Data Pipeline Engineering: Build and maintain complex ETL/ELT workflows using Azure Data Factory (ADF) and Microsoft Fabric Data Factory. * Advanced Analytics & Spark: Develop high-performance data processing logic using PySpark, Spark SQL, and Python on Azure Databricks or Fabric Spark Notebooks. * Migration & Modernization: Lead hands-on migrations of on-premises data warehouses to Azure, ensuring minimal downtime and data integrity. * Performance Tuning: Perform deep code-level analysis of Spark core internals and Delta Lake logs to troubleshoot and optimize large-scale data processing. * Unified Analytics: Integrate Power BI with OneLake and Lakehouse architectures, ensuring seamless "Direct Lake" connectivity and optimized reporting. * Security & Governance: Implement robust security frameworks, including Row-Level Security (RLS), data masking, and compliance with global privacy regulations * DevOps & Best Practices: Champion CI/CD for data (DataOps) using Azure DevOps/GitHub, ensuring code modularity, version control, and comprehensive documentation. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)