Senior Manager Data Engineering - Google Cloud Platform (GCP)

Publicis Groupe - Chicago, IL

Full-time - Senior

Chicago, IL

10,001+ employees

Professional, Scientific, and Technical Services

About the position

Publicis Sapient is seeking a Senior Manager of Data Engineering to lead a team of technologists in delivering impactful data solutions for enterprise clients. This role involves leveraging data to drive customer acquisition and engagement, while advancing large-scale data platforms that connect brands with consumers. The Senior Manager will act as a trusted advisor, translating client needs into technology solutions, ensuring high-quality deliverables, and mentoring team members.

Responsibilities

• Lead a team of data engineers to deliver transformative data solutions for enterprise clients.
• Act as a trusted advisor to clients, leveraging data for customer acquisition and engagement.
• Advance the application of large-scale data platforms to enable business transformation.
• Translate client needs into technology solutions and provide expertise in solving complex business issues.
• Shape opportunities and create execution approaches throughout the lifecycle of client engagements.
• Ensure high-quality deliverables by setting development standards and participating in code reviews.
• Mentor, support, and manage team members.

Requirements

• Exceptional data engineering skills with a background in distributed computing.
• Proven experience in delivering large-scale data platforms.
• Good grasp of analytics, measurement, reporting, and business intelligence.
• Hands-on expertise in the big data ecosystem including data integration, storage, compute frameworks, and advanced visualization tools.
• Experience with Google Cloud Platform (GCP) and BigQuery.
• Hands-on experience with Python coding.
• Expertise in data governance for big data, including knowledge of MDM/entity resolution solutions.
• Experience with large language models (LLM) performance and fine-tuning.
• Ability to lead teams in understanding the client's digital ecosystem and producing a future data landscape vision.
• Excellent client communication and facilitation skills.

Nice-to-haves

• Google Cloud Platform Certifications.
• Certifications in Machine Learning/Advanced Analytics courses.
• Experience with code repositories and continuous integration pipelines.
• Experience in data governance and lineage implementation.
• Multi-geo and distributed delivery experience in large programs.

Benefits

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• 401(k) plan with company matching.
• Flexible work hours and remote work options.
• Professional development opportunities and training programs.