Data Engineering Manager: Architect & Lead Data Platforms

Publicis Group

Irving, Northern (TX, KY)

Hybrid

USD 140,000 - 180,000

Full time

14 days+
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Job summary

Publicis Group is seeking a Data Engineer Manager to shape the data platform roadmap and lead data engineering and AI initiatives. You will design scalable architectures, mentor teams, and collaborate with stakeholders to translate business needs into high-performance solutions.

You will work across AWS and Azure, leverage Databricks and Snowflake, and drive data mesh, data products, and CI/CD practices in a fast-paced environment.

Qualifications

  • 6+ years of experience in architecture design, data engineering, and AI initiatives.
  • Experience with Databricks and Snowflake, data lakehouse patterns.
  • Proficiency in AWS and Azure cloud platforms.
  • Strong Python and SQL skills; Java is a plus.
  • Hands-on with data pipelines (ETL/ELT, streaming).
  • Experience with CI/CD and DevOps in data environments.
  • Security, governance, and regulatory compliance knowledge.
  • Excellent stakeholder communication and leadership.

Responsibilities

  • Design end-to-end data and AI solutions aligned with business strategy.
  • Lead data mesh architecture and data product initiatives.
  • Mentor engineering teams and drive best practices.
  • Collaborate with product, data science, and senior leadership.
  • Evaluate new data technologies and cloud services.
  • Ensure security and compliance in designs.

Skills

Solution Architecture Design
Data Mesh & Data Products
AI/ML Integration
Cloud Ecosystem Mastery
Databricks
Snowflake
Data Pipeline Development
Python
SQL
Java
Security & Compliance
Stakeholder Collaboration

Tools

Databricks
Snowflake
AWS
Azure
Kafka
Spark
Flink
Docker
Kubernetes
CI/CD

Job description

Publicis Group is seeking a Data Engineer Manager to shape the data platform roadmap and lead data engineering and AI initiatives. You will design scalable architectures, mentor teams, and collaborate with stakeholders to translate business needs into high-performance solutions.

You will work across AWS and Azure, leverage Databricks and Snowflake, and drive data mesh, data products, and CI/CD practices in a fast-paced environment.

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