Digital Data Architect || Irving, TX ( 2 Days of the Week )

Title :: Digital Data Architect Location :: Irving, TX ( 2 days of the week ) Job Type :: 12 Months Contract Job Description: Digital Data Architect – Individual Contributor Role Overview We are looking for a hands-on Digital Data Architect to design and implement modern data architectures that enable analytics, AI/ML, and digital transformation. This role focuses on technical execution, ensuring scalable, secure, and high-performing data solutions across cloud and hybrid environments. Key Responsibilities • Design conceptual, logical, and physical data models for enterprise and domain-specific solutions. • Architect data platforms leveraging Azure Synapse, Databricks, Data Lake, and Cosmos DB. • Build robust ETL/ELT pipelines using Azure Data Factory, Event Hubs, and streaming technologies. • Enable real-time and batch data processing for analytics and operational systems. • Implement data cataloging, lineage, and quality frameworks using tools like Azure Purview. • Ensure compliance with security and regulatory requirements (GDPR, CCPA). • Optimize data storage, query performance, and cost efficiency across cloud environments. • Collaborate with solution architects, data engineers, and analytics teams to deliver end-to-end solutions. • Provide technical guidance and best practices for data platform adoption. Required Skills & Qualifications • Bachelor’s in Computer Science, Information Systems, or related field. • 8+ years in data engineering/architecture roles with strong hands-on expertise. • Cloud data platforms (Azure preferred; AWS/GCP a plus). • Data modeling (relational, NoSQL, and big data). • ETL/ELT and streaming frameworks. • Proficiency in SQL, Python, and Spark. • Experience with Azure Synapse, Databricks, Data Lake, Cosmos DB, Azure Data Factory, Event Hubs, Kafka. • Familiarity with BI tools like Power BI or Tableau. Preferred Qualifications Experience with Data Mesh or Data Fabric concepts. Familiarity with ML pipeline integration. Certifications: Azure Data Engineer Associate, Azure Solutions Architect Expert. KPIs and Success Metrics Successful implementation of scalable data architectures within agreed timelines. Reduction in data processing time and cost optimization by X%. Improved data quality and governance compliance (measured by audit scores). Adoption rate of new data platforms and tools across teams. Achievement of pipeline SLAs for batch and real-time data flows.