Senior AWS Data Engineering Architect

at  Publicis Sapient

Company Description
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.
Job Description

SR MANAGER, DATA ENGINEERING

Publicis Sapient is looking for a Sr 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 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., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, ELT tools like DBT, 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)
• Exposure to AWS EMR, Glue, Athena, S3, SQS/SNS or equivalent technologies in other cloud platforms • Expertise in data governance for big data space with knowledge of various MDM/entity resolution solutions
• Experience in Financial Services Data Engineering
• Experience in building & applying best practices w.r.t. performance, security, and cost-efficiency for data lake
• 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

Please refer the Job description for details