Delivery Consultant- Data, WWPS ProServe Data and Machine LearningAmazon • Arlington, Texas, United States
Delivery Consultant- Data, WWPS ProServe Data and Machine Learning
Amazon
- Arlington, Texas, United States
- Arlington, Texas, United States
À propos
As a Delivery Consultant specializing in Data Engineering & Architecture, you will provide exceptional technical design and thought leadership for cloud data applications, working with a world‑class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data‑driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture.
This is a customer‑facing role. You will work from one of the listed locations (or customer sites) Monday through Friday each week. Travel to client locations to deliver professional services may be required. This is not a remote position.
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.
Key Job Responsibilities
Helping clarify customer business outcomes during project discovery and translating them into data architecture and engineering solutions
Designing and building data analytics applications that are secure, scalable, reliable, performant, and cost‑effective
Collaborating with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies
Identifying, mitigating, and communicating risks related to solution and service constraints by making informed technical trade‑offs
Acting as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
Qualifications
Bachelor’s degree in business administration, finance, economics, computer science, data science, engineering, or other related field
3+ years of database (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code
Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning
Current, active US Government Security Clearance of Top Secret or above
Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda
Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization
Experience leading end‑to‑end data engineering projects including migrating on‑premises data applications to cloud‑native architectures
Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures
Knowledge of security and compliance standards (FedRAMP, NIST, HIPAA)
Preferred Qualifications
Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda
Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization
Experience leading end‑to‑end data engineering projects including migrating on‑premises data applications to cloud‑native architectures
Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures
Knowledge of security and compliance standards (FedRAMP, NIST, HIPAA)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information.
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.
USA, VA, Arlington – 131,300.00 – 177,600.00 USD annually USA, VA, Herndon – 131,300.00 – 177,600.00 USD annually
Emplacement :
ES, Community of Madrid, Madrid
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Compétences linguistiques
- English
Avis aux utilisateurs
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