Senior Data Engineering Architect - Cloud & AI Solutions

Publicis Groupe; Chicago, Northern (IL, KY); Hybrid; USD 160,000 - 262,000; Full time

Benefits offered by this job

Inclusive culture

Learning opportunities

Competitive pay

Work-life balance

Health benefits

Paid leave

Job summary

Publicis Sapient seeks a Senior Manager Data Engineering to design and implement scalable data platforms enabling data-driven decisions. You will lead end-to-end data pipelines across batch and streaming workloads on modern cloud platforms, while mentoring teams and partnering with clients to deliver measurable business value.

You will drive data architecture, lakehouse patterns, and AI-enabled data services, integrating telemetry, observability, and reliable data foundations for AI/ML

Qualifications

• Experience building end-to-end data pipelines in production.
• Hands-on with major public cloud data platforms (AWS/Azure/GCP).
• Familiarity with Databricks, Spark, and lakehouse patterns.
• Strong Python for data engineering, automation, and ML workflows.

Responsibilities

• Design and implement scalable data platforms and pipelines.
• Lead large-scale data systems and modern lakehouse architectures.
• Mentor junior teammates and contribute hands-on delivery.
• Collaborate with clients to translate requirements into design.
• Develop observability, reliability, and post-production ops.

Skills

End-to-end data pipelines

Python

Cloud data platforms

Databricks

Data modeling

CI/CD & production support

AI/MLOps data engineering

Communication

Tools

AWS

Azure

Google Cloud

Databricks

Spark

BigQuery / Redshift

SQL/NoSQL databases

Job description

Publicis Sapient seeks a Senior Manager Data Engineering to design and implement scalable data platforms enabling data-driven decisions. You will lead end-to-end data pipelines across batch and streaming workloads on modern cloud platforms, while mentoring teams and partnering with clients to deliver measurable business value.

You will drive data architecture, lakehouse patterns, and AI-enabled data services, integrating telemetry, observability, and reliable data foundations for AI/ML