Data Engineering Manager: Cloud Platform & Lakehouse
Publicis Groupe Holdings B.V
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Benefits offered by this job
Job summary
Publicis Sapient in the United States seeks a Manager, Data Engineering to design and build scalable data pipelines, lakehouse platforms, and data products across trading, finance, and operations. You will work with Databricks, Azure, and modern cloud technologies to enable enterprise analytics and AI readiness.
Lead engineers, collaborate with architects and business stakeholders, drive data governance and quality, and deliver high-performance data platforms in a fast-paced, client-focused
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience in Data Engineering, Data Integration, Data Platform Development, or related roles.
- Proven experience designing and delivering enterprise-scale data engineering solutions and cloud platforms.
- Strong experience building scalable data pipelines and data integration frameworks.
Responsibilities
- Design, develop, and maintain scalable data pipelines for enterprise reporting and analytics.
- Build batch, streaming, and near real-time data integration across diverse environments.
- Develop cloud-native data engineering solutions to meet business and analytical needs.
- Lead architecture standards and best practices in data engineering.
- Collaborate with data governance, security, and platform teams to ensure reliability and compliance.
Skills
Education
Tools
Job description
Publicis Sapient in the United States seeks a Manager, Data Engineering to design and build scalable data pipelines, lakehouse platforms, and data products across trading, finance, and operations. You will work with Databricks, Azure, and modern cloud technologies to enable enterprise analytics and AI readiness.
Lead engineers, collaborate with architects and business stakeholders, drive data governance and quality, and deliver high-performance data platforms in a fast-paced, client-focused
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