Company descriptionPublicis Sapient is a global digital transformation partner that empowers organizations to embrace digital innovation, enhance customer experiences, and accelerate business growth through a blend of strategy, consulting, agile engineering, and problem-solving creativity. With over 20,000 professionals worldwide, we help clients achieve their future digital goals by fusing technology, data sciences, and customer obsession.OverviewPublicis Sapient is looking for a Senior Manager of Data Engineering to lead top-notch technologists to enable real business outcomes for our enterprise clients. You will create impact for some of the world’s biggest brands, by translating their needs into transformative solutions that provide valuable insight. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future. Your Impact: Act as a trusted advisor to clients by leveraging data for customer acquisition and engagement as part of large digital transformation journeys Advance the application of large-scale data platforms as a core building block to connecting brands with consumers and enabling true business transformation Work closely with our clients in understanding their needs and translating them to technology solutions Provide expertise as a technical resource to solve complex business issues that translate into data integration and database systems designs Shape opportunities and create execution approaches throughout the lifecycle of client engagements Ensuring all deliverables are of high quality by setting development standards, adhering to the standards, and participating in code reviews Mentor, support, and manage team membersQualificationsYour Skills & Experience: Exceptional data engineering skills with 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 technologist with deep expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., LTE Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, Reporting Tools, AI/ML Platforms) Hands-on experience with Google Cloud Platform (GCP) with BigQuery Hands-on experience with Python coding Expertise in data governance for big data space 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 that rapidly learn the client’s current digital ecosystem and produce a future data landscape vision and strategy considering the transformation agenda and business goals Have a point of view and understanding of build vs. buy, performance considerations, hosting, commercial models, business intelligence, reporting, and analytics Excellent client communication and facilitating skills, ability to influence others and gain consensus, and team collaboration Combination of proficient consulting, business, strategy, technical and people skills Set Yourself Apart With: Google Cloud Platform Certifications Certifications for any Machine Learning/Advanced Analytics Courses Experience working with code repositories and continuous integration pipelines using codebuild/code pipelines or similar tools/technologies Experience in data governance and lineage implementation Multi-geo and distributed delivery experience in large programs
