Senior Data Engineering Architect for AI-Driven Platforms

Publicis Sapient; Chicago (IL); On-site; USD 155,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Flexible work-life balance

Health benefits

Wellness program

Paid leave

Job summary

Publicis Sapient in Chicago seeks a Manager Data Engineering/Architect to design and deliver large-scale data systems, pipelines, and platform modernization, leveraging cloud data platforms and modern frameworks.

You will mentor teammates, translate client requirements into scalable architectures, and work with AI-enabled use cases, Data Mesh patterns, and MLOps practices to drive measurable business value.

Qualifications

• Experience implementing end-to-end data pipelines and production-grade data platforms.
• Experience with at least one major cloud data platform (AWS / Azure / GCP).
• Experience with Databricks and lakehouse patterns.
• Strong Python experience for data engineering, automation, or AI workflows.
• Experience with SQL/NoSQL databases and data warehousing.
• Experience with streaming and batch data integration tools.
• Knowledge of data modeling and lakehouse/data mesh patterns.
• Familiarity with CI, testing, release management, and production support.
• Understanding of MLOps and AI deployment support.
• Strong communication and teamwork.

Responsibilities

• Lead end-to-end data platform projects from design to delivery.
• Build and optimize batch and streaming pipelines on cloud platforms.
• Mentor junior team members and contribute hands-on.
• Provide project estimates and feasibility assessments.
• Ensure observability, reliability, and post-production operations.
• Collaborate with clients and cross-functional teams.

Skills

End-to-end data pipelines

Cloud data platforms

Python proficiency

Databricks

SQL / relational databases

Data modeling

MLOps familiarity

CI / release management

Communication

Tools

AWS

Azure

GCP

Databricks

Spark

BigQuery

Job description

Publicis Sapient in Chicago seeks a Manager Data Engineering/Architect to design and deliver large-scale data systems, pipelines, and platform modernization, leveraging cloud data platforms and modern frameworks.

You will mentor teammates, translate client requirements into scalable architectures, and work with AI-enabled use cases, Data Mesh patterns, and MLOps practices to drive measurable business value.