Senior Manager Data Engineering

Mid / Senior


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Publicis Sapient is looking for a hands-on Senior Manager to join our team of bright thinkers and doers. You’ll use your problem-solving creativity to design, architect, and develop high-end technology solutions that solve our clients’ most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.

Key Responsibilities:

  • 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 to understand their needs and translate them into technology solutions
  • Provide expertise as a technical resource to solve complex business issues that translates 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 members

Desired Profile:

  • 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., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Reporting Tools, AI/ML Platforms)
  • Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud) 
  • Expertise in data governance for big data space with knowledge of various MDM/entity resolution solutions
  • 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
  • Bachelor degree in Computer Science, Engineering or a related field

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