Job description

Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented, creative, and collaborative? Then this is the position for you. 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. 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. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 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. Key job responsibilities As an experienced data professional, you will be responsible for: - 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 About the team 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. 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. - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience - Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code - 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 in performance optimization and cost management for cloud environments - 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 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 amazon.jobs 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 amazon.jobs . USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually

Requirements

Must-haves

Key job responsibilities
As an experienced data professional, you will be responsible for:
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
About the team
Diverse Experiences
Work/Life Balance
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
Mentorship and Career Growth
7+ years of technical specialist, design and architecture experience
5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
7+ years of external or internal customer facing, complex and large scale project management experience
5+ years of cloud architecture and solution implementation experience
Bachelor's degree, or 7+ years of professional or military experience
Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlawssqlpythonmachine learningci/cd

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave