Director, Data Engineering

Job DescriptionWe are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.\nDirector, Data Engineering - Shelton, CT\n \nReady to build what’s next with one of the world’s most iconic brands?\n \nWhy Join Subway?\nAt Subway, we are not standing still. We are building.\n \nThis is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.\n \nYou will not just do the work. You will shape it.\n \nWe move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.\n \nIf you bring energy, accountability and a bias for action, you will fit right in.\nWe take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.\nThis is your chance to be part of what’s next.\n \nAbout the Role:\nThe Director, Data Engineering is responsible for leading the design, development, and operation of enterprise data engineering platforms and pipelines that support analytics, reporting, data products, and downstream consumption. This role owns delivery execution, reliability, and scalability of data systems while ensuring alignment with enterprise architecture, security, and governance standards. The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.\n \nResponsibilities include but not limited to:\n\nOwn the data engineering roadmap aligned to data product and business priorities\nLead the design and build of scalable data pipelines (batch and streaming) and platform services\nEnsure data ingestion, transformation, and delivery are reliable, observable, and performant\nDrive modernization of data platforms and reduction of technical debt\nPartner with Enterprise Architecture and Platform teams to align tooling, patterns, and standards; promote reusable frameworks across teams\nEstablish standards for data quality, observability, lineage, and documentation\nPartner with Security, Privacy, and Compliance teams to ensure data protection and regulatory alignment\nCollaborate with Data Product Managers to translate business outcomes into engineering priorities\nEnable Analytics, BI, and Data Science teams with high-quality, well-modeled data\nLead and develop managers, leads, and senior data engineers; build strong engineering capability through hiring, coaching, and career development\nDefine and track KPIs (pipeline reliability, data freshness, SLAs, cost efficiency) and drive operational excellence across data platforms\n\n \nQualifications (some examples listed below):\n\n8–12 years of experience in data engineering or adjacent platform roles\n3–5 years of experience leading teams or enterprise-scale data capabilities\nBachelor’s degree required (Computer Science, Engineering, Data, or related field); advanced degree preferred\nDeep understanding of modern data architectures (cloud data platforms, batch/stream processing)\nStrong experience leading data engineering teams and platforms in a technology organization\nAbility to influence across Product, Analytics, Platform, and Security; proven people leadership and delivery management skills\nExperience operating cloud-based, distributed data platforms in complex, matrixed enterprise environments\nStrong communication skills, executive presence, and a bias for ownership, reliability, and continuous improvement\n\n \nWhat do we offer?\n\nInsurance Plans (Medical, Life)\n\n\nPension/401K/RSP (country specific)\nCompetitive Bonus\nMobility Allowance\nTuition Reimbursement\nCompany Holidays\nVolunteering time\nAnd More…..\n\n \n \n \nCompensation: The base pay range for this role is $184,500 - $230,600 annually\n \nPay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.\nThe Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V