Azure Data Architect

🕒 March 17

🇺🇸 United States – Remote

💵 $110k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

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HarperCollins Publishers

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1817

👥 B2C

📱 Media

🛍️ eCommerce

B2C • Media • eCommerce

HarperCollins Publishers is a leading global publishing house committed to supporting authors and delivering diverse narratives that resonate with readers worldwide. With a rich history dating back to 1817, HarperCollins offers a wide range of books across various genres including biographies, cookbooks, fiction, and children's literature. The company focuses on promoting creativity and innovation within a welcoming culture, fostering connections among authors, employees, and the community.

📋 Description

• Design and implement scalable, secure, and resilient cloud data architectures using the Medallion architecture pattern • Build and maintain complex ETL/ELT workflows using Azure Data Factory and Microsoft Fabric Data Factory • Develop high-performance data processing logic using PySpark, Spark SQL, and Python on Azure Databricks or Fabric Spark Notebooks • Lead hands-on migrations of on-premises data warehouses to Azure while ensuring minimal downtime and data integrity • Analyze Spark core internals and Delta Lake logs to troubleshoot and optimize large-scale data processing • Integrate Power BI with OneLake and Lakehouse architectures, ensuring Direct Lake connectivity and optimized reporting • Implement security frameworks including Row-Level Security, data masking, and compliance with global privacy regulations • Champion CI/CD for data using Azure DevOps or GitHub • Ensure code modularity, version control, and comprehensive documentation

🎯 Requirements

• 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 • Experience with Azure Data Lake Storage (ADLS Gen2), Azure SQL DB, Synapse Analytics, Azure Data Factory, and the Microsoft Fabric ecosystem • Expertise in Dimensional Modeling, including Star and Snowflake schemas • Advanced Power BI skills, including DAX, Row-Level Security (RLS) implementation, and performance tuning for large datasets • Strong proficiency in Python, PySpark, and SQL • Understanding of Infrastructure as Code, including ARM templates, Terraform, or Bicep • Understanding of hybrid cloud integration • Preferred certifications: DP-203, DP-600, and DP-700 • Cover letters are strongly preferred

🏖️ Benefits

• Comprehensive and highly competitive benefits package • Physical health benefits • Retirement and savings benefits • Caregiving benefits • Emotional wellbeing benefits • Transportation benefits • Elective benefits tailored to employees’ needs and personal situations • Reasonable accommodation for qualified individuals with disabilities

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