Azure Data Architect

2 weeks ago

Dallas, United States 1872 Consulting Full time

Overview Azure Data Architect (Dallas) Base Salary :$145K-$150K Company Summary Our client is a technology-driven organization focused on digital and data transformation across enterprise systems. They are building scalable, cloud-based data platforms to enable analytics, AI, and real-time insights across the business. The environment is remote-first, collaborative, and emphasizes hands-on technical excellence within modern Azure ecosystems. Position Summary We're seeking a Digital Data Architect to design and implement enterprise data architectures supporting analytics, AI/ML, and digital modernization. This individual contributor role focuses on data modeling, Azure-based architecture, and close collaboration with engineering teams. The ideal candidate combines strong data design skills with working knowledge of Azure cloud technologies and modern ELT/streaming practices. Key Responsibilities Design conceptual, logical, and physical data models for enterprise and domain-level systems. Architect and optimize data platforms leveraging Azure Synapse, Databricks, Data Factory, Data Lake, and Cosmos DB. Develop and oversee ETL/ELT frameworks for analytics and operational data systems. Ensure data structures support AI/ML workloads and modern analytics use cases. Collaborate with data engineers and architects to deliver scalable, governed solutions. Apply best practices for data modeling, lineage, and performance optimization. Maintain compliance with governance and security standards (GDPR, CCPA). Key Performance Indicators Quality and scalability of implemented data models. Reduced latency and improved data pipeline efficiency. Cross-team adoption and performance of designed architectures. Required Qualifications 812 years in data architecture and modeling Must have strong Data Architecture/Modeling experience in Azure environments More experience with the following Azure data services the better: Azure Synapse, Databricks, Data Factory, Data Lake, Event Hubs, Cosmos DB. Strong background in data modeling (conceptual, logical, and physical) Advanced SQL proficiency Architecting data pipelines Nice to have Building data pipelines with Python, Spark and/or Kafka Experience with ELT is a big plus Familiarity with ML pipeline integration and Data Mesh/Data Fabric concepts. Bachelor's or Masters Degree in Computer Science or a related field Azure certifications (Data Engineer or Solutions Architect). #J-18808-Ljbffr

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