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Azure Data Architect

2 weeks ago

Dallas, TX, United States 1872 Consulting Full time
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.
• rchitect 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.
• pply 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
• 8-12 years in data architecture and modeling
• Must have strong Data Architecture/Modeling experience in Azure environments

o 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)
• dvanced SQL proficiency
• rchitecting data pipelines

Nice to haves (in this order)
• Building data pipelines with Python, Spark and/or Kafka is

o Experience with ELT is a big nice to have
• Familiarity with ML pipeline integration and Data Mesh/Data Fabric concepts.
• Bachelor's or Master's Degree in Computer Science or a related field
• zure certifications (Data Engineer or Solutions Architect).