Azure Data Architect (Dalas)

1872 Consulting; Dallas (TX); Remote; USD 145,000 - 150,000; Full time

Job summary

A technology consulting firm is seeking an Azure Data Architect in Dallas to design and implement enterprise data architectures supporting analytics and AI. This role combines data modeling expertise with strong Azure cloud technologies knowledge. Ideal candidates will have 8–12 years of experience in data architecture, focusing on Azure-based architecture and data modeling in a remote-first environment.

Qualifications

• 8–12 years in data architecture and modeling.
• Strong background in data modeling (conceptual, logical, physical).
• Must have strong Data Architecture/Modeling experience in Azure environments.

Responsibilities

• Design conceptual, logical, and physical data models for enterprise systems.
• Architect and optimize data platforms leveraging Azure technologies.
• Collaborate with data engineers to deliver scalable solutions.

Skills

Data Architecture/Modeling

Azure Data Services

Advanced SQL

Architecting data pipelines

Education

Bachelor's or Master’s Degree in Computer Science

Tools

Azure Synapse

Databricks

Data Factory

Data Lake

Cosmos DB

Job description

Overview

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
• 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 have

• 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).