Role : Lead Infrastructure Engineer – Palo Alto Firewalls
Location : Dallas,TX ( Locals preferred) Day 1 onsite
In this role, you will be responsible for the end-to-end engineering and operational support of Microsoft Fabric, a cornerstone platform driving enterprise data strategy and analytics capabilities. The platform integrates core services such as data ingestion, transformation, semantic modeling, and reporting within a unified architecture.
You will contribute to strategic initiatives focused on improving cloud security posture, automating firewall policy management, and enhancing resiliency across environments. This position requires a strong balance of hands-on engineering, architecture, and operational risk management in a highly regulated banking environment.
In this role, you will:
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
Required 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
Desired Qualifications:
Experience with Microsoft Fabric-specific services (Lakehouse, Data Factory, OneLake, Semantic Models, Real-Time Analytics)
Experience with enterprise data governance tools (e.g., Microsoft Purview, data cataloging, DLP policies)
Familiarity with multi-cloud data and analytics ecosystems (Azure, Google Cloud Platform)
Experience with pipeline optimization, cost management, and performance engineering at scale
Understanding of DevSecOps practices and secure data platform design
Knowledge of regulatory and compliance requirements in financial services (data privacy, audit, risk controls)
Experience integrating Fabric with enterprise identity and access management solutions
Microsoft certifications related to Fabric, Azure Data Engineering, or Analytics
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