Data Architect Lead Consultant

NTT DATA Services • Remote, GA

1d • Remote

About The Position

NTT DATA is seeking an experienced Data Architect Lead Consultant to design and modernize scalable enterprise data platforms using Microsoft Fabric and Azure technologies. The role defines end-to-end data architecture and provides technical leadership to engineering teams implementing the solution. It is fully remote and involves collaboration with business, product, data, engineering, QA, and other stakeholders in a distributed environment.

Requirements

• At least 7 years of experience in Data Engineering, Data Architecture, cloud data, or a related field, including solution architecture responsibilities.
• At least 7 years of hands-on experience with SparkSQL, PySpark, Delta Tables, Pipelines, Fabric Notebooks, SQL, and modern Lakehouse/data warehouse architectures.
• At least 7 years of experience with Microsoft Fabric and/or Microsoft Azure data platforms and enterprise data integration.
• At least 7 years of experience defining architecture standards, data models, security, governance, performance, and deployment patterns.
• Bachelor's degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field, or equivalent professional experience.
• Comfort collaborating with business, product, data, engineering, QA, and other stakeholders in a distributed environment.

Nice To Haves

• Experience with OneLake, Fabric Lakehouse, Fabric Data Warehouse, Azure Data Factory, Power BI, and Azure DevOps.
• Experience with enterprise data governance, CI/CD, cloud cost optimization, and large-scale data platforms.
• Microsoft Azure or Fabric architecture/data certifications.

Responsibilities

• Define end-to-end data solution architecture, patterns, standards, and technical roadmaps across ingestion, transformation, storage, analytics, security, and integration.
• Architect solutions using Microsoft Fabric and Azure, including SparkSQL, PySpark, Delta Tables, Pipelines, Fabric Notebooks, Lakehouse, and data warehouse technologies.
• Design scalable data models, Medallion/Lakehouse patterns, integration approaches, security controls, governance, and performance strategies.
• Lead architecture reviews and translate business and non-functional requirements into detailed technical designs and implementation guidance.
• Partner with Data Engineers to guide development of Pipelines, Fabric Notebooks, PySpark/SparkSQL transformations, and Delta Tables.
• Evaluate technology choices for scalability, reliability, performance, security, maintainability, and cost.
• Mentor engineering teams and ensure architectural standards are followed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior