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 also ensuring high-quality deliverables through adherence to development standards. The Senior Manager will act as a trusted advisor, translating client needs into technology solutions and mentoring team members to foster growth and innovation.

Responsibilities

• Lead a team of data engineers to deliver large-scale data platforms for enterprise clients.
• Act as a trusted advisor to clients, leveraging data for customer acquisition and engagement.
• Translate client needs into transformative technology solutions.
• Provide technical expertise to solve complex business issues related to data integration and database systems design.
• 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 and support team members to enhance their skills and performance.

Requirements

• Exceptional data engineering skills with a background in distributed computing.
• Proven experience in delivering large-scale data platforms.
• Strong 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.
• Proficiency in Python coding.
• Knowledge of data governance in the big data space and MDM/entity resolution solutions.
• Experience with large language models (LLM) performance and fine-tuning.
• Ability to lead teams in understanding and transforming the client's digital ecosystem.

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

• Health insurance coverage
• 401k retirement savings plan
• Paid holidays
• Professional development opportunities
• Flexible scheduling options