Lead Architect, Data & Analytics

Core Responsibilities

• Enable our Purpose to create lifelong memories by igniting the senses with unrivaled food and experiences
• Work with business stakeholders to gather requirements and translate business questions into data models and analytical approaches
• Design and implement a scalable lakehouse architecture on Microsoft Fabric
• Build and maintain pipelines that integrate POS systems, labor platforms, digital ordering, and finance systems
• Optimize for performance, reliability, and cost
• Build AI-ready data infrastructure, including feature stores and semantic models
• Define SLAs, reliability standards, and disaster recovery architecture for the data environment, partnering with the operations team
• Support SOX compliance for data and reporting in scope, and PCI-DSS compliance for cardholder data flowing through the platform
• Respond to internal and external audits, and maintain the documentation needed to support them
• Define an AI governance framework covering model validation, monitoring, responsible AI use, and data privacy (CCPA/CPRA alignment)
• Keep data consistent with FP&A reporting
• Enable self-service analytics and AI-assisted insights for business users
• Lead AI and ML use cases such as sales forecasting, labor optimization, demand prediction, and anomaly detection
• Develop LLM-based solutions using Azure OpenAI and prompt orchestration
• Support AI agents and automation workflows on Power Platform and Oracle AI Agents
• Support Copilot and conversational analytics in Power BI and Fabric
• Deliver insights through Power BI dashboards, mobile reporting, and automated, event-driven reporting
• Enable natural language querying and AI-generated insights for everyday users
• Evaluate and select data and AI tools and lead associated vendor relationships
• Own the data platform budget, and forecast cloud consumption costs across Fabric, Azure, and AI services
• Run proofs of concept for emerging technologies before broader rollout
• Collaborate with Finance, Operations, and Marketing as analytic frameworks are built and refined
• Maintain architecture documentation, data dictionaries, and decision records for major architectural choices

Qualifications

• 5+ years of experience in data architecture, data engineering, or analytics platform development
• A track record of delivering AI/ML or advanced analytics solutions end to end
• Hands-on experience with Microsoft Fabric or Azure (Azure ML, Synapse, Data Factory) and Power BI
• Strong skills in Python and SQL
• Experience with LLM integrations (Azure OpenAI), prompt engineering, and orchestration
• Experience managing the full ML model lifecycle, including training, deployment, and monitoring
• Experience with feature engineering and data preparation for AI workloads
• Comfort working with business partners to translate operational and financial questions into technical solutions

Pay

The pay range for this role is $125,000.00 - $145,000.00 per year. Your actual compensation will depend on experience, location, and/or additional skills you bring to the table.