Senior Manager Data Engineering - Google Cloud Platform (GCP)

$147,000 - $200,000/Yr

Publicis Groupe - Chicago, IL

Full-time - Senior

Chicago, IL

10,001+ employees

Professional, Scientific, and Technical Services

About the position

The Senior Manager of Data Engineering at Publicis Sapient is responsible for leading a team of data engineers to deliver transformative data solutions for enterprise clients. This role involves acting as a trusted advisor, leveraging data to enhance customer engagement, and driving digital transformation initiatives. The position requires a blend of technical expertise in data engineering, client communication, and team management to ensure high-quality deliverables and successful project execution.

Responsibilities

• Act as a trusted advisor to clients by leveraging data for customer acquisition and engagement.
• Advance the application of large-scale data platforms to connect brands with consumers.
• Work closely with clients to understand their needs and translate them into technology solutions.
• Provide expertise as a technical resource to solve complex business issues related to data integration and database systems designs.
• Shape opportunities and create execution approaches throughout the lifecycle of client engagements.
• Ensure all deliverables are of high quality by setting development standards and participating in code reviews.
• Mentor, support, and manage team members.

Requirements

• Exceptional data engineering skills with a distributed computing background and proven experience in delivering large scale data platforms.
• Good grasp of analytics, measurement, reporting, and business intelligence including modeling, insights generation, and data science.
• Hands-on experience with big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization tools.
• Hands-on experience with Google Cloud Platform (GCP) and BigQuery.
• Hands-on experience with Python coding.
• Expertise in data governance for big data with knowledge of various MDM/entity resolution solutions.
• Experience with large language models (LLM) performance and fine-tuning.
• Experience in implementing retrieval augmented generation (RAG).
• Ability to lead teams in producing a future data landscape vision and strategy.
• Excellent client communication and facilitating skills, ability to influence others and gain consensus.

Nice-to-haves

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

Benefits

• Flexible vacation policy; time is not limited, allocated, or accrued.
• 16 paid holidays throughout the year.
• Generous parental leave and new parent transition program.
• Tuition reimbursement.
• Corporate gift matching program.