1872 Consulting
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).
:
$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).