Lead Big Data & AI Platform Architect (Hybrid)

Publicis Groupe Holdings B.V

Chicago, Arlington (IL, VA)

Hybrid

USD 135,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Health benefits
Learning & development
Paid leave
Wellness program

Job summary

Publicis Sapient is seeking a Manager Data Engineering to design, build, and optimize data platforms enabling scalable analytics. You will lead cross-functional teams to deliver end-to-end data solutions, focusing on batch and streaming pipelines across cloud platforms and modern processing frameworks.

You will mentor juniors, drive data platform modernization, and contribute hands-on to delivery while collaborating with clients to translate requirements into realizable architectures.

Qualifications

  • Demonstrated experience building end-to-end data pipelines and production-grade data platforms.
  • Experience with at least one major public cloud data platform (AWS/Azure/GCP).
  • Strong Python proficiency and tooling for data engineering and AI workflows.
  • Hands-on experience with Databricks including notebooks, jobs, Delta Lake or lakehouse patterns.
  • Experience with both streaming and batch data pipelines using Spark, Glue, Dataflow, or similar.
  • Familiarity with data modeling, warehouse design, and modern lakehouse/data mesh patterns.
  • Strong CI/CD practices and production support experience.
  • Knowledge of MLOps and AI/ML deployment considerations.

Responsibilities

  • Lead design and implementation of large-scale data systems and pipelines.
  • Develop and optimize batch and streaming data workflows across cloud data platforms.
  • Mentor junior engineers and contribute hands-on to delivery.
  • Collaborate with cross-functional teams to translate requirements into scalable data solutions.
  • Ensure observability, reliability, and cost efficiency of data platforms.
  • Support AI-enabled engineering use cases with robust data foundations and patterns.
  • Drive data platform modernization initiatives and best practices.

Skills

Data pipelines
Cloud platforms
Python
Databricks
SQL/NoSQL
CI/CD
MLOps
Communication

Tools

AWS
Azure
GCP
Spark
Delta Lake
BigQuery
Redshift
DynamoDB
Cosmos DB
SQL Server
Oracle
MySQL

Job description

Publicis Sapient is seeking a Manager Data Engineering to design, build, and optimize data platforms enabling scalable analytics. You will lead cross-functional teams to deliver end-to-end data solutions, focusing on batch and streaming pipelines across cloud platforms and modern processing frameworks.

You will mentor juniors, drive data platform modernization, and contribute hands-on to delivery while collaborating with clients to translate requirements into realizable architectures.

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