Lead Data Engineer, AI-Powered Data Pipelines

Publicis Groupe; New York (NY); On-site; USD 89,000 - 142,000; Full time

Benefits offered by this job

Medical coverage

Dental

Vision

Disability

401K

Parental and family care leave

Family forming assistance

Tuition reimbursement

Flexible time off

Job summary

Publicis Groupe in New York is seeking an experienced data engineer to build and operate scalable data pipelines that power analytics and AI use cases. You will design reusable data models, implement quality checks, and collaborate with product and AI teams to deliver reliable data products.

This hands-on role blends coding with technical leadership to shape data platforms across the enterprise. You will work with cloud data warehouses, orchestration, testing and deployment, and regularly use AI

Qualifications

• 5+ years of data or software engineering experience, including production pipeline delivery and technical leadership.
• Strong Python and SQL skills, data modeling experience and practical knowledge of API integration and failure handling.
• Experience with cloud warehouses or lakehouses, orchestration, automated testing and deployment.
• Regular use of AI development tools, with examples of improving engineering work and catching or correcting generated errors.
• Ability to diagnose data issues and communicate solutions clearly; a relevant technical degree or equivalent practical experience.
• How you work with AI
• Break work into clear tasks, provide useful context to AI tools and review generated code, queries and tests before use.
• Keep confidential data within approved tools and access boundaries, and judge automation by correctness, maintainability and time saved.
• Distributed processing experience; streaming systems; semantic layers; data services for AI; or experience in media and advertising technology.

Responsibilities

• Build and operate scalable pipelines that integrate APIs, files and enterprise systems into dependable data products.
• Design reusable data models and interfaces for analytics, applications and AI use cases.
• Implement automated quality checks, reconciliation, lineage and recoverable processing so consumers can trust the data.
• Use AI coding assistants and agents to accelerate pipeline development, testing, debugging and documentation; verify correctness and performance.
• Develop reusable components and automate repetitive engineering tasks to reduce maintenance and shorten delivery cycles.
• Monitor reliability, investigate failures and improve query performance, recovery and infrastructure cost.
• Collaborate with product, AI engineers and data consumers; review code, mentor colleagues and own delivery through production.

Skills

Python

SQL

Data modeling

APIs

AI tooling

Distributed processing

Streaming systems

Media & ads tech

Education

Technical degree

Tools

Cloud data warehouses

Orchestration

Automated testing

Deployment

Job description

Publicis Groupe in New York is seeking an experienced data engineer to build and operate scalable data pipelines that power analytics and AI use cases. You will design reusable data models, implement quality checks, and collaborate with product and AI teams to deliver reliable data products.

This hands-on role blends coding with technical leadership to shape data platforms across the enterprise. You will work with cloud data warehouses, orchestration, testing and deployment, and regularly use AI