VP Data Engineering

PUBLICIS GROUPE•Boston, MA

58d•$250,000 - $360,000

About The Position

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. Working with the latest technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future. Your Impact: Be a member of the leadership team in our Data Engineering capability, with an integral role in shaping our center of excellence (COE) 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 a 200+ person team Bring SRE and data reliability engineering principles, practices, and philosophies into all data engineering projects

Requirements

Significant experience in data engineering, site reliability engineering, and data governance
Exceptional cloud/big data skills with a 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, LLM integrations, vector & graph databases, and LM/LLM integration patterns.
Proven ability to lead a technical track of 200+ software engineers
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

Responsibilities

Be a member of the leadership team in our Data Engineering capability, with an integral role in shaping our center of excellence (COE)
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 a 200+ person team
Bring SRE and data reliability engineering principles, practices, and philosophies into all data engineering projects