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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Infrastructure Engineer - Palo Alto Firewalls - **Company:** VDart, Inc. - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $150,450.0 - $200,600.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Microsoft Azure, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Software Debugging, Identity and Access Management, Meta-Data Management, Operational Databases, Performance Tuning, Role-Based Access Control, Power BI, Cloud Services, Data Ingestion, Azure Data Factory, Multi-Cloud, Firewalls (Computer Science), Data Strategy, Data Layers, Microsoft Fabric, Data Lineage, Data Analytics, Enterprise Integration, Data Management, Tools for Reporting, Terraform, Azure Synapse Analytics, Stream Analytics, Data Pipelines, Devsecops - **Published:** August 28, 2026 - **Apply:** https://www.careerjet.com/jobad/us7e2827c2d854d4fbbbfddaf5141a473f ## About the Role * 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, GCP) * 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 ## Description * 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, About the Role: The Civil Professional Engineer (PE) plays a critical role in designing, developing, and overseeing infrastructure projects that meet safety, quality, and regulat… + 7 days ago ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)