Visa Lead Data Architect \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Lead Data Architect Full-time Job Family Group: Engineering and Technology Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters to you, to your community, and to the world. Progress starts with you. Job Description Visas Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate one of the worlds most sophisticated global transaction networksprocessing more than 65,000 secure transactions per second across 80 million merchants, 15,000 financial institutions, and billions of people worldwide. Within ValueAdded Services (VAS), we are building AInative data foundations that transform how data is discovered, understood, and activatedenabling product intelligence, growth analytics, and realtime decisioning across Visas ecosystem. The Opportunity We are seeking a Lead Architect to define and drive the vision for VAS Data Foundationsa hybrid, AIready platform that consolidates company wide data into a unified, governed, and intelligent data layer. This role sits at the intersection of data architecture, AI/ML, and product intelligence. You will shape how data flows from raw signals to semantic meaning to AIdriven insightspowering dashboards, product analytics, AI agents, and executive decisionmaking at global scale. The Work Itself Define the endtoend architectural vision for AInative data foundations, spanning cloud data platforms, semantic layers, AI metadata, and consumption layers. Lead consolidation of disparate data sources (onprem, Hadoop, acquisitions, cloud) into a single, accessible, governed data layer. Design and evolve an AInative semantic layer that enables any agent, analyst, or product to discover, query, and reason over data consistently. Enable agentic and selfservice analytics, including automated insights, metric discovery, product analytics, and talktodata experiences. Partner with Product, Business, AI and Data Science teams to operationalize AI Data Scientist capabilities for automated visualization, deepdive insights, and product intelligence. Establish architectural standards for data quality, metadata, lineage, observability, governance, and responsible AI usage. Guide platform evolution across data ingestion, ETL/ELT pipelines, scalable data models, metric catalogs, and presentation layers. Translate business and product needs (growth, churn, retention, fraud, performance) into durable data and semantic architectures. Influence and mentor senior engineers and architects, elevating architectural rigor and longterm thinking across VAS. Essential Functions Act as the principal architect for VAS Data Foundations, owning longterm architectural coherence across data, AI, and analytics layers. Lead structured discovery with Product and Business stakeholders to align business questions to metrics to data model to semantic models to AIready data products. Ensure platforms are hybrid cloudnative, AIready, privacypreserving, and globally scalable. Drive architectural decisions that balance speed, governance, reusability, and cost efficiency. Identify systemic patterns across data quality, usage, performance, and analytics frictionand drive foundational improvements. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelors degree, or 7+ years with an advanced degree (e.g., Masters, MBA, JD, MD), or 4+ years with a PhD, or 13+ years of relevant work experience regardless of degree. Preferred Qualifications: 12+ years of experience with a Bachelors degree, or 810 years with an advanced degree (e.g., Masters, MBA, JD, MD), or 6+ years with a PhD, or 15+ years of experience with a Bachelors degree, or 12+ years with an advanced degree, or 6+ years with a PhD. The Skills You Bring: Strong architectural mindset with experience designing large-scale data platforms, semantic layers, or analytics foundations. Deep knowledge of cloud data ecosystems, including data lakes, warehouses, streaming, ETL/ELT, metadata management, and governance. Experience supporting or building AI/ML and LLM-based analytics, including agent-driven or conversational data applications. Ability to think in systems and abstractionsdata models, metrics, semantics, and contractsnot just pipelines. Comfortable operating in ambiguity, shaping vision, and driving alignment across engineering, product, and business teams. Excellent communication skills, able to explain complex architectures to senior technical and non-technical stakeholders. Passion for building platforms that enable product analytics, growth insights, and decision intelligence at scale. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is to USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend Posted by Cementry Carter share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Other jobs at Visa Director, Software Engineering - GenAI Bellevue, WA Technical Program Manager Foster City, CA Director, Global Data Office Foster City, CA Show all jobs Share to WeChat × Copy the link and open WeChat to share. 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The role requires a strong architectural mindset with experience designing large-scale data platforms, semantic layers, or analytics foundations. Deep knowledge of cloud data ecosystems, including data lakes, warehouses, streaming, ETL/ELT, metadata management, and governance is necessary. Experience supporting or building AI/ML and LLM-based analytics, including agent-driven or conversational data applications, is also required. The candidate must be able to think in systems and abstractions, not just pipelines, and be comfortable operating in ambiguity, shaping vision, and driving alignment. Basic qualifications include 10+ years of relevant work experience with a Bachelors degree, or equivalent experience.