Azure Data Engineer (Fabric & Cloud Data Platform)

Key Responsibilities

• Data Lakehouse Architecture: Design and optimize a high-performance lakehouse pattern utilizing Microsoft Fabric OneLake and Azure Data Lake Storage Gen2 (ADLS Gen2).
• Data Zone Management: Maintain architectural segregation between raw storage (immutability, landing) and curated data zones (cleansed, conformed business layers) while securely handling identifiable data.
• Scalable Data Processing: Develop, tune, and monitor large-scale batch processing pipelines using Azure Databricks (Spark-based processing) and PySpark.
• Orchestration & Workflow: Build automated data workflows using Microsoft Fabric Data Factory and Azure Data Factory to move data efficiently across the platform.
• Legacy & Model Integration: Ensure seamless integration with existing data pipelines, legacy data models, and established transformation logic without breaking downstream analytical operations.
• Platform Security & Governance: Implement enterprise-grade security baselines including data-at-rest/in-transit encryption, structured logging, automated audit trails, and strict access controls (RBAC, ABAC, and row/column-level security).
• Future-Proof Analytics: Structure data foundations to readily support future analytical workloads, advanced reporting, and data science use cases.
• Required Technical Skills
• Cloud Platform & Fabric: 3+ years of dedicated hands-on experience in Microsoft Azure, with practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse).
• Big Data Processing: Deep technical expertise with Apache Spark / Azure Databricks for distributed compute, memory optimization, and Delta Lake formats.
• Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark).
• Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor, Log Analytics, and Microsoft Purview.
• Data Integration: Proven track record of migrating, refactoring, or connecting legacy SQL/stored procedure logic and existing pipelines into modern cloud formats.
• Preferred Qualifications & Certifications
• Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) is highly advantageous.
• DevOps/IaC: Experience deploying data infrastructure as code using Terraform, Bicep, and managing deployments via Git/Azure DevOps.
• Soft Skills
• Exceptional analytical and root-cause debugging skills for distributed Spark jobs and multi-stage pipelines.
• Ability to collaborate with compliance and security teams to validate data privacy baselines.
• Strong communication skills to bridge technical delivery with business intelligence requirements.
• #LI-LP2
• About Rackspace Technology
• We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
• More on Rackspace Technology
• Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.