Architect - Data Engineering

Job description

JOB DESCRIPTION Architect - Data Engineering About Sysco LABS: Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 55th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry. Sysco operates 333 distribution centers across 10 countries, with 75,000 colleagues serving approximately 670,000 customer locations, including restaurants, healthcare and educational facilities, lodging establishments, entertainment venues and more. For fiscal year 2026, which ended June 27, 2026, the company generated sales of more than $84 billion. Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations. Sysco LABS’ enterprise technology is present in the end-to-end foodservice journey, enabling the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network and the in-restaurant dining experience of the end-customer. The Opportunity: We are currently on the lookout for a Architect - Data Engineering to join our team. Responsibilities: Domain Architecture Ownership Serve as the single architectural point of accountability for data, analytics, and AI solutions within the assigned business domain (Supply Chain & Operations, Merchandizing, Pricing, Commercial Technology and Finance). Define and maintain the domain-driven data models and target-state architecture, ensuring alignment with enterprise data platform standards, governance frameworks, and reference architectures. Author architecture artifacts including logical architecture, detailed designs, ADRs and represent domain solutions through Architecture Review processes. AI & Agentic Solution Design Translate product intent into architecture and technical direction for AI-augmented workflows. Design agentic workflows and multi-agent architectures that solve domain business problems, leveraging Google Gemini Enterprise and Vertex AI. Establish reusable agentic design patterns for the domain including evaluation frameworks, human-in-the-loop controls, observability, and cost-awareness built in from design. Data Architecture on Google Cloud Platform Architect data solutions on the GCP data stack applying medallion architecture, data products, and semantic layer principles. Embed data governance, security, observability, and FinOps considerations into every solution design. Stakeholder Engagement & Communication Communicate fluently across technical, functional, and business audiences from engineering deep-dives to executive readouts. Present complex concepts in clear accessible terms and build stakeholder confidence in emerging architecture patterns through storytelling, visuals, and working demonstrations. Interface with business domain leaders, be at the forefront of planning and engagement and act as a trusted advisor to Domain Business leaders, proactively identifying where Data and AI solutions can create measurable operational value. Delivery & Enablement Prototype conceptual models that prove out architecture proposals, then execute a structured handover to implementation teams for productionizing, scaling, and support. Partner with solution delivery teams, platform engineering, and Run & Support partners to ensure design intent carries through from blueprint to production. Conduct architecture reviews, provide design guidance to engineering teams, and uplift domain teams on agentic and AI architecture best practices. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. 8+ years of experience in Data Architecture, Solution Architecture, or senior Data Engineering roles, including 3+ years with demonstrated architectural ownership of enterprise-scale solutions. Deep expertise in cloud platforms (AWS, GCP, or Azure). Hands-on experience with the GCP data ecosystem is a strong advantage. Demonstrated ability to define and architect modern AI-enabled solutions, including agentic workflows, LLM application patterns, RAG, grounding, prompt and context engineering, model evaluation. Proven experience designing agentic workflows and building agentic solutions using Google Gemini Enterprise and/or Vertex AI is a strong advantage. Domain knowledge and familiarity with the core processes within relevant business domain(s). Exceptional communication and presentation skills, with a proven ability to explain complex architectural concepts to technical, functional, and executive audiences. Experience operating in a forward-deployed or embedded architecture model within business domains is an advantage. Familiarity with data mesh and data product operating models, semantic layers, and dimensional modeling is an advantage. Benefits: Performance-based annual bonus Performance rewards and recognition Agile Benefits - special allowances for Health, Wellness & Academic purposes Paid birthday leave Team engagement allowance Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws Hybrid work arrangement Sysco LABS is an Equal Opportunity Employer.