Senior Data Engineering Lead for AI-Driven Data Platforms

Publicis Groupe

Chicago, Arlington (IL, VA)

On-site

USD 160,000 - 262,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Paid leave
Wellness program
Learning opportunities
Diversity & collaboration

Job summary

Publicis Sapient seeks a Senior Manager Data Engineering to architect and implement scalable data platforms, enabling data-driven decisions across client engagements. You will lead cross-functional teams, design end-to-end pipelines, and drive modernization of data systems with batch and streaming capabilities.

You will combine cloud expertise, Python tooling, and AI-driven data foundations to deliver value, optimize performance, and mentor junior engineers in a collaborative environment.

Qualifications

  • End-to-end data pipelines and production-grade data platforms.
  • Hands-on with public cloud data platforms (AWS, Azure, GCP).
  • Databricks experience including notebooks and Delta Lake.
  • Strong Python for data engineering and automation.
  • Experience with data modeling, warehousing, and lakehouse patterns.
  • Familiarity with MLOps concepts and AI/ML deployment support.

Responsibilities

  • Lead and deliver large-scale data systems and modernization initiatives.
  • Build and optimize batch and streaming data pipelines on cloud platforms.
  • Design data foundations to support AI-enabled services and retrieval patterns.
  • Mentor junior engineers and contribute hands-on to delivery.
  • Ensure observability, reliability, and post-production operations.

Skills

Data pipeline design
Python
Cloud platforms
Databricks
SQL/NoSQL databases
CI/CD / MLOps
Data modeling
AI deployment support

Tools

Databricks
BigQuery
Redshift

Job description

Publicis Sapient seeks a Senior Manager Data Engineering to architect and implement scalable data platforms, enabling data-driven decisions across client engagements. You will lead cross-functional teams, design end-to-end pipelines, and drive modernization of data systems with batch and streaming capabilities.

You will combine cloud expertise, Python tooling, and AI-driven data foundations to deliver value, optimize performance, and mentor junior engineers in a collaborative environment.

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