Publicis Sapient · 5 hours ago
VP Data Engineering
Publicis Sapient is looking for a Vice President of Data Engineering to lead top-notch technologists to enable real business outcomes for our enterprise clients. You will create impact for some of the world’s biggest brands by translating their needs into transformative solutions that provide valuable insight.
Artificial Intelligence (AI)ConsultingDatabaseEnterprise
Responsibilities
Be a member of the leadership team primarily in our Data Engineering, with an integral role in shaping our center of excellence (COE), which includes Data Science, Governance, and Analytics
Act as a trusted advisor to clients by leveraging cloud/big data for customer acquisition and engagement as part of large digital transformation journeys
Manage the engineering teams quality of delivery, mentor the technical team, manage technical risk, and face-off against client IT leadership in defining the solution roadmap and converting business capabilities into digital reality
Provide expertise as a technical resource to solve complex business issues that translate into data integration and database systems designs
Shape opportunities and create execution approaches throughout the lifecycle of client engagements
Ensure all deliverables are of high quality by setting development standards, adhering to the standards, and participating in code reviews
Mentor, support, and (indirectly) manage 100+ person team
Bring SRE and data reliability engineering principles, practices, and philosophies into all data engineering projects
Qualification
Required
Significant experience in data engineering, site reliability engineering, and data governance, including the ability to define solution architectures, debug and optimize complex systems, and contribute as an engineer where necessary
Exceptional cloud/big data skills with distributed computing background and proven experience in delivering large scale cloud platforms
Strong background in application development using service-oriented architecture and 12-factor methodology of building cloud-native platforms in AWS, Azure, or GCP
Experience with MLOps, AIOps, context engineering, prompt engineering, vector & graph databases, and LM/LLM integration patterns
Proven ability to lead a technical track of 200+ software engineers across geographies
Expertise in systems integration, custom development, and package implementation
Proven background as an engineering leader in delivering complex solution design, delivering large programs, and obtaining approval from enterprise architecture stakeholders
Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud) with a strong preference for certifications (or willingness to attain certifications)
Hands-on programming experience in Java or Python to help teams navigate delivery challenges as required and provide succinct approaches/root cause analysis to clients
Familiarity with Domain Driven Design, Microservices, Data Pipelines, Messaging, Event-Driven Architectures, Async Processing
Understanding of modern front-end development languages and frameworks
Ability to lead teams that rapidly learn the client's current digital ecosystem and produce a future data landscape vision and strategy considering the transformation agenda and business goals
Excellent client communication and facilitating skills, ability to influence others and gain consensus, and team collaboration
Combination of proficient consulting, business, strategy, technical and people skills
Benefits
Flexible vacation policy; time is not limited, allocated, or accrued
16 paid holidays throughout the year.
Generous parental leave and new parent transition program
Tuition reimbursement
Corporate gift matching program
Company
Publicis Sapient
Publicis sapient is a digital consulting firm that offers consulting, technology, and product management services. It is a sub-organization of Publicis Sapient.
H1B Sponsorship
Publicis Sapient has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (90)
2024 (90)
2023 (85)
2022 (153)
2021 (235)
2020 (231)
Funding
Current Stage
Late StageRecent News
Financial Sector Technology
2025-12-09
2025-12-03
Financial Sector Technology
2025-11-15
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