Azure Data Architect (Dalas)

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

· 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

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

· Azure certifications (Data Engineer or Solutions Architect).