Senior AWS Data Engineering Architect

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 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 members

Qualifications

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
Set Yourself Apart With:

Certifications for any of the cloud services like AWS, GCP or Azure
Certifications for any Machine Learning/Advanced Analytics Courses
Experience working with code repositories and continuous integration pipelines using AWS codebuild/code pipelines or similar tools/technologies
Experience in data governance and lineage implementation
Multi-geo and distributed delivery experience in large programs