Delivery Consultant

Delivery Consultant - Data and Analytics , WWPS ProServe
Job ID: 2965264 | Amazon Web Services, Inc.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
Providing technical guidance and troubleshooting support throughout project delivery
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
~3+ years experience in cloud architecture, designing and implementing cloud solutions.
~3+ years of full software development life cycle, including coding standards, code reviews, source control management, CI/CD automation, build processes, testing, and operations experience
~ Hands-on experience in developing scalable, high-performance data ingestion and engineering pipelines, performing complex data transformations across large datasets using Apache Spark, Python, and/or Scala to implement data lake architectures
~ Experience of working with healthcare and life sciences data (e.g. EHR, HL7/FHIR, insurance claims, genomics, medical imaging, etc)

Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
~ Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies
~ Expertise in performance optimization and cost management for cloud environments
~ 3+ years of experience in designing and implementing large scale Data Lake and Data Warehouse in the cloud
~ Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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