Data Architect, WWPS ProServe

3 weeks ago

St Louis, Missouri, United States Amazon Full time

Are you looking for a challenging role that combines technical expertise with business acumen? As a Cloud Data Solutions Architect at Amazon, you will have the opportunity to design and build large-scale data architectures and platforms for cloud data applications. With a focus on delivering exceptional customer experiences, you will work closely with cross-functional teams to drive business outcomes and help customers achieve their mission of better patient health.

This is a customer-facing role that requires strong collaboration and communication skills. You may need to travel to client locations and deliver professional services when needed. We are seeking a highly motivated and detail-oriented individual who can bring creative solutions to complex problems and thrive in a fast-paced environment.

About the Role:

  • Key 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
  • Participate in growing their team's skills and help mentor internal and customer team members

Requirements:

  • 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

We offer a competitive salary ranging from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market, based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

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