Enterprise Data Architecture & Cloud Platform Leader

Publicis Groupe

Houston (TX)

On-site

USD 160,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Inclusive workplace
Learning & development
Health benefits
Paid leave
Work-life balance

Job summary

Publicis Sapient is seeking a Senior Manager, Enterprise Data Architecture & Engineering to define and drive the future state of our data landscape. You will guide lakehouse and cloud platform strategies, establish standards, and lead enterprise-scale data initiatives across trading, finance, and operations.

You will partner with business leaders and engineering teams to shape data foundations, ensure governance and quality, and enable analytics, BI, and AI capabilities with scalable design.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.

Responsibilities

  • Lead architecture design and governance for enterprise-wide data architecture strategies.
  • Develop current-state and future-state roadmaps across data platforms and reporting ecosystems.
  • Define standards, patterns, and best practices for scalable data architectures.
  • Provide leadership for large-scale modernization, cloud transformations, and data platform initiatives.
  • Mentor architects and engineers while aligning investments with strategic priorities.

Skills

Data Architecture
Cloud-native
Data Modeling
Leadership
Stakeholder Management
Communication
Enterprise Architecture

Education

Bachelor's degree in Computer Science/Engineering/Information Systems

Tools

Databricks
Azure Data Platform
AWS Data Services
Snowflake

Job description

Publicis Sapient is seeking a Senior Manager, Enterprise Data Architecture & Engineering to define and drive the future state of our data landscape. You will guide lakehouse and cloud platform strategies, establish standards, and lead enterprise-scale data initiatives across trading, finance, and operations.

You will partner with business leaders and engineering teams to shape data foundations, ensure governance and quality, and enable analytics, BI, and AI capabilities with scalable design.

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