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Sr. Solutions Architect – Data, AI, and Analytics Specialist, ASPI HCLS Specialist

AmazonAmazon

Summary by AIEngineer.careers

Sr. Solutions Architect – Data, AI, and Analytics Specialist, ASPI HCLS Specialist is a AI Solutions Architect role (full-time). with Amazon. in BOSTON, US. Compensation shown: $154K–$208K. Imported listing (source: career.io). Apply on the employer's site (career.io).

Imported listing (source: career.io) · Apply on career.io

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BOSTON · US
$154K–$208K
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from career.io

A senior presales Solutions Architect role at AWS focused on data, AI, and analytics for Healthcare & Life Sciences customers. You will architect secure, scalable analytics and GenAI solutions, lead technical customer conversations, and drive adoption of AWS analytics services. The role blends deep technical design with go-to-market strategy and cross-functional collaboration.

Responsibilities

  • Design end-to-end analytics solutions for HCLS customers that are secure, reliable, performant, and cost-optimized
  • Lead technical discussions on data warehousing, data lakes, ETL/ELT pipelines, BI, and real-time streaming
  • Translate business requirements into scalable technical architectures
  • Drive assessments, performance optimization engagements, and architecture reviews
  • Deliver advisory sessions and enablement workshops to drive analytics service adoption
  • Create reusable technical content such as reference architectures and best practices
  • Collaborate with sales, product, and engineering to influence roadmaps
  • Stay current with Data, Analytics, and GenAI trends

Requirements

  • 5+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics
  • Experience architecting analytics or data platform solutions (data warehousing, data lakes, ETL pipelines, BI, or real-time streaming)
  • Skilled in design, implementation, or consulting of applications and infrastructures
  • Experience migrating or transforming legacy solutions to the cloud
  • Experience communicating across technical and non-technical audiences, including executive stakeholders

Nice to Have

  • 6+ years of experience in a solutions architecture function focused on infrastructure, analytics, AI, and/or networking
  • AWS Certifications such as AWS Database Specialty or AWS Solutions Architect Professional
  • Experience with Amazon S3, AWS Glue, AWS Lake Formation, Amazon Redshift, Amazon Athena, Amazon EMR, or Amazon QuickSight

Benefits

Health insurancedental insurancevision insurance401k matchingpaid time offParental leave

Tech Stack

Amazon AthenaAmazon EMRAmazon QuickSightAmazon RedshiftAmazon S3AnalyticsAWSAWS GlueAWS Lake FormationData LakesData WarehousingETLGenerative AI
Amazon

Amazon

Seattle, Arlington County · US · 1576000+ employees

Amazon is a global technology and retail conglomerate focused on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. The company operates a vast ecosystem of services, including AWS, Amazon Prime, and numerous physical and digital products.

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