Data Analytics Architect/Consultant, WWPS US Federal Financial ProServe

Do you like helping US Federal agencies implement innovative cloud computing solutions and solve technical problems Would you like to do this using the latest cloud computing technologies Do you have a knack for helping these groups understand application architectures and integration approaches and the consultative and leadership skills to launch a project on a trajectory to success Amazon Web Services (AWS) Professional Services engage in a wide variety of projects for customers and partners providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams to get the right solution delivered and drive feature innovation based upon customer needs.

We are looking for an experienced selfdriven Data Analytics Consultant. In this role you will design and implement scalable distributed and highperformance data architectures on AWS. You should have deep expertise and passion in working with large data sets data visualization building complex data modeling ETL processes and data warehousing concepts. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements.

Key Responsibilities include:
Lead medium to largescale data projects from inception to completion
Creation and support of realtime data pipelines built on AWS technologies Amazon S3 Redshift EMR Glue Athena and Lake Formation
Design implement and support data warehouse/ data lake infrastructure using AWS bigdata stack Python Redshift QuickSight Glue/lake formation EMR/Spark Athena etc.
Collaborate with other Engineering teams Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development statistical analysis prediction etc
Guide clients on implementing ML solutions in their data pipeline using machine learning concepts and AWS AI/ML services like SageMaker
Use data visualization tools like AWS QuickSight to create insightful dashboards and reports

This position requires that the candidate selected be a US Citizen.

Key job responsibilities
Key Responsibilities include:
Lead medium to largescale data projects from inception to completion
Creation and support of realtime data pipelines built on AWS technologies Amazon S3 Redshift EMR Glue Athena and Lake Formation
Design implement and support data warehouse/ data lake infrastructure using AWS bigdata stack Python Redshift QuickSight Glue/lake formation EMR/Spark Athena etc.
Collaborate with other Engineering teams Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development statistical analysis prediction etc
Guide clients on implementing ML solutions in their data pipeline using machine learning concepts and AWS AI/ML services like SageMaker
Use data visualization tools like AWS QuickSight to create insightful dashboards and reports

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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Work/Life Balance
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Knowledge of the primary aws services (ec2 elb rds route53 & s3)
Experience implementing AWS services in a variety of distributed computing environments
Technical degree or equivalent experience
5 years of relevant industry experience
3 years of handson experience with AWS service

5 years of IT implementation experience
Experience and technical expertise (design and implementation) in cloud computing technologies
Experience leading the design development and deployment of business software at scale or recent handson technology infrastructure network compute storage and virtualization experience
AWS Certified Solutions Architect Associate
AWS Certified Data Analytics Specialty / AWS Certified Data Engineer Associate

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.