Azure Data Architect (Dallas)
Base Salary: $145K-$150K
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.
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.
· 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).
· Quality and scalability of implemented data models.
· Reduced latency and improved data pipeline efficiency.
· Cross-team adoption and performance of designed architectures.
· 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)
· Advanced SQL proficiency
· Architecting data pipelines
· 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
· Azure certifications (Data Engineer or Solutions Architect).