Azure Data Architect; Dalas
Listed on 2026-01-12
-
IT/Tech
Data Engineer, Cloud Computing, AI Engineer, Data Science Manager
Overview
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.
Position SummaryWe'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
- 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
- Experience with ELT is a big plus
- 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).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).