Description Are you a Data Analytics specialist? Do you have Data Engineering, Data Warehousing and Data Lake experience? Do you want to help Public Sector Customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented and creative? Do you like to collaborate with others to achieve goals? Then this is the position for you. As a Data Architect, you will provide exceptional technical design and thought leadership to the global healthcare market for cloud data applications, while working with a world class sales and business development team. You will design and create data architectures and platforms to help healthcare organizations achieve their mission of better patient health. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture. This is a customer facing role. You may need to travel to client locations and deliver professional services when needed. This position requires that the candidate selected be a US Citizen. Key job responsibilities - Help clarify customer business outcomes during project discovery - Design and build data analytics applications to solve complex and ambiguous problems in the public sector healthcare and life sciences domain - Implement technical solutions that are secure, maintainable, scalable, reliable, performant, and cost-effective - Identify and prepare metrics and reports for the internal team and for customers to delineate the value of their solution to the customer - Identify, mitigate and communicate risks related to solution and service constraints by making technical trade-offs - Participate in growing their team’s skills and help mentor internal and customer team members About the team 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. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & 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 Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience - 3+ years of experience in designing, implementing large scale Data Lake and Data Warehouse in the cloud - Experience in using one or more query languages (e.g. SQL, HiveQL, SPARQL), schema definition languages (e.g. DDL, SDL, XSD, RDF), and scripting languages (e.g. Python, Scala) to build a data solution - Understanding of distributed system concepts from storage and compute perspectives, including data persistence solutions (e.g. HDFS vs RDBMS), data integration techniques (e.g. ETL vs federation), database optimization (e.g. partitioning, distribution, indexing), and join algorithms (e.g. hash vs nested loop) - Experience in CI/CD automation for a data lake using CDK (Cloud Development Kit) or Terraform Preferred Qualifications - Experience in building data management platforms with AWS services such as Athena, Glue, Lake Formation, Step Functions, Lambda, S3, DynamoDB, Relational Database Service (RDS), Amazon EMR and Amazon Redshift - Experience with healthcare data formats such as HL7/FHIR, genomics data, and medical imaging data - Understanding of healthcare infrastructure and security requirements - Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, and BI Ops - Experience interfacing directly with customers from different levels of the organization to understand requirements and render those as architectural models that will operate at large scale and high performance, and advise customers on how to run these architectural models on AWS Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.