This role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S.
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221100
Key job responsibilities
Design and implement production-grade data pipelines, data lakes, and lakehouses within an enterprise environment, contributing to data mesh patterns and integrating with legacy systems and existing data governance frameworks
Build data products that serve multiple downstream applications and use cases — from AI/ML model training to agentic AI systems — ensuring data quality, lineage, and reliability at scale
Operate with a high degree of autonomy within fast-moving delivery engagements, making sound judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications or constant oversight
Navigate complex data access, security, and privacy requirements in a regulated Telco environment
Help build contextual knowledge layers — ontologies and knowledge graphs — leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously
Collaborate across organizational boundaries to secure data access, understand source-system context, and resolve data quality challenges with teams across customer IT, business, and partner organizations
Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions that can evolve as customer understanding matures
Apply AI-DLC (AI-accelerated Development Life Cycle) methodologies to data delivery, redesigning data workflows to become AI-native for accelerated scale and pace
Experience
Hands-on data engineering (SQL, Spark/ETL, Python) and the AWS data stack (S3, Glue, Iceberg/Lake Formation, Redshift where warranted)
Building data lakes/lakehouses in enterprise environments
Working with data governance, security, and privacy
Telco customer experience
Plus: exposure to AI/ML data enablement, Amazon Bedrock Knowledge Bases, and ontology/knowledge-graph concepts is a strong plus
About the team
ABOUT AWS
Diverse Experiences
Amazon 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, 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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. 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.
3+ years of cloud architecture and solution implementation experience
Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
Experience implementing AWS services in a variety of distributed computing environments
5+ years of IT implementation experience
degree in advanced technology, or AWS Professional level certification
Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
Knowledge of security and compliance standards including HIPAA and GDPR
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 hands-on technology infrastructure, network, compute, storage, and virtualization experience
Experience in performance optimization and cost management for cloud environments
Experience presenting technical solutions to diverse audiences in pre-sales environments
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually
USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually
USA, NY, New York - 144,500.00 - 195,400.00 USD annually
USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually
USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually
