Fabric Engineer: Enterprise Data Platform Lead

NTT DATA North America

Irving (TX)

On-site

USD 140,000 - 180,000

Full time

14 days+

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Job summary

NTT DATA North America is seeking a Microsoft Fabric Engineer to support and evolve a strategic, enterprise-wide data and analytics platform in Irving, TX. You will lead end-to-end engineering and operational support of Fabric, including data ingestion, transformations, and reporting.

The role emphasizes secure, scalable, and cost-efficient platform operations within a regulated financial services context, with collaboration across engineering, analytics, cybersecurity, and platform teams.

Qualifications

5+ years of experience in data engineering, data platforms, or analytics engineering.
Hands-on experience with Microsoft Fabric, or closely related technologies (Power BI, Azure Data Factory, Synapse Analytics).
Strong experience designing and supporting data pipelines, ETL/ELT processes, and data integration workflows.
Experience with data modeling, semantic layers, and analytics/reporting frameworks.
Proficiency in infrastructure-as-code (e.g., Terraform) and CI/CD practices for data platforms.
Strong understanding of data governance principles, including data lineage, access control, and compliance.
Experience supporting production data platforms, including monitoring, troubleshooting, and performance tuning.
Ability to work in regulated environments with strict security, risk, and compliance requirements.
Strong collaboration and problem-solving skills across cross-functional teams.

Responsibilities

Lead complex initiatives to design and enhance enterprise data platform capabilities within Microsoft Fabric, supporting business-critical analytics workloads
Participate in strategic efforts to expand Fabric adoption, onboard new use cases, and improve platform scalability and performance
Evaluate internal and external data, analytics, and integration solutions to align with target state architecture and enterprise data strategy
Review and analyze high-impact incidents related to data pipelines, platform performance, or data quality; implement preventative controls and resiliency improvements
Design, build, deploy, and maintain Fabric solutions including data ingestion pipelines, transformations, semantic models, and reporting layers
Develop and optimize data pipelines and orchestration workflows to improve performance, reliability, and cost efficiency
Implement infrastructure-as-code (IaC) and automation to enable repeatable deployment of Fabric components and supporting services
Contribute to Agile development practices by designing, testing, debugging, and documenting data engineering and platform solutions
Make technical decisions on architecture design, integration patterns, and data modeling approaches, while identifying risks and resource requirements
Manage and support production operations, including monitoring, performance tuning, troubleshooting, and incident response for Fabric workloads
Enforce enterprise data governance, security, and compliance standards (e.g., RBAC, data lineage, sensitivity labels, and access controls)
Drive data platform integration across systems, including cloud services, data sources, and downstream applications
Recommend solutions to optimize platform performance, cost, and scalability while improving data quality and operational efficiency
Collaborate with data engineering, analytics, cybersecurity, and platform teams to resolve issues and deliver secure, high-quality data solutions
Interact with internal customers, business stakeholders, and technology vendors (including Microsoft) to deliver and support analytics capabilities