AI Cloud Platform Engineer
About The Position
Join Allstate's Data & Analytics Technology team and help build the next generation of enterprise AI and data platforms on Microsoft Fabric. We are seeking an experienced AI Cloud Platform Engineer to help design, build, and operate scalable, resilient, and high-performance data platforms that power enterprise analytics, reporting, artificial intelligence, and advanced data products. This role is responsible for developing and optimizing a Unified Data Analytics Platform using cloud-native Microsoft Fabric technologies. As an AI Cloud Platform Engineer, you will play a key role in designing and implementing intelligent, automated, and agentic AI-driven solutions that enhance the security, governance, reliability, and operational excellence of the enterprise data platform. You will work closely with analytics engineers, data architects, data scientists, and product teams to deliver innovative capabilities that enable trusted, self-service, and enterprise-scale data consumption. You'll have the opportunity to influence platform strategy, and deliver solutions that empower data-driven decision-making at scale.
Requirements
- 3+ years of experience as a Data Engineer, building and supporting enterprise-scale data platforms and pipelines.
- Advanced proficiency in Python, SQL , and modern data engineering practices.
- Strong hands-on experience with GitHub, Key vault, and REST API (integration 7 automation).
- Experience with Microsoft Fabric and Azure platform, or comparable cloud analytics platforms.
- Experience with Terraform/Jenkins, or comparable CI/CD.
- Experience implementing CI/CD pipelines, source control, Infrastructure as Code (IaC), and automated testing practices.
- Familiarity with AI-powered engineering tools and Agentic AI-assisted software development practices.
- Strong understanding of distributed computing, performance tuning, scalability, fault tolerance, and data reliability.
- Excellent problem-solving, collaboration, communication, and stakeholder management skills.
Nice To Haves
- Experience designing and implementing enterprise data products within Microsoft Fabric.
- Knowledge of data governance and data quality frameworks.
- Cloud or data engineering certifications in Azure, Microsoft Fabric, Databricks, or related technologies.
Responsibilities
- Participates in iteration planning to ensure the team shares a common understanding of backlog stories, features, and technical chores.
- Helps execute the product strategy with customer needs and outcomes as priorities.
- Works with team members to design scalable systems, applications, and data solutions.
- Participates in daily site, cross-site, and product team standups.
- Uses Agentic AI-assisted development capabilities, including GitHub Copilot and similar coding assistants, to accelerate code generation, testing, documentation, and troubleshooting while following enterprise governance standards.
- Contributes to retrospectives by gathering feedback and identifying actionable improvements for the team and product.
- Supports software products and platforms in production and user environments.
- Shares knowledge and contributes to the continuous development of the team’s collective expertise.
- Applies paired programming, test-driven development (TDD), and modern software engineering practices to deliver high-quality solutions.
- Establishes and maintains Continuous Integration, Continuous Delivery, and Continuous Deployment (CI/CD) pipelines and practices.
- Collaborates on designing and implementing AI-enabled applications, automation workflows, and intelligent developer experiences where appropriate.
Benefits
- Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
- Monthly connectivity reimbursement for eligible remote employees.
- Opportunity to shape the future of protection.
- Support for causes that mean the most to you.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
