Data Engineer/Architect, WWPS ProServe Data and Machine Learning

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. 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 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. Basic Qualifications • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field • 3+ years of database (eg. 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 Preferred Qualifications • Experience building data platforms with AWS services such as Glue, Lake Format