Senior Data, AI & Analytics Solutions Architect

Amazon Web Services (AWS)

Dallas (TX)

On-site

USD 180,000 - 230,000

Full time

3 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services is seeking a Senior Solutions Architect to lead data, analytics, and AI conversations with healthcare and life sciences customers. You will translate business needs into scalable AWS architectures, drive assessments and optimization engagements, and mentor teams to deliver value with data-driven strategies.

You will collaborate across sales, product, and engineering, staying abreast of GenAI trends to ensure customers maintain a competitive edge and achieve revenue growth

Qualifications

  • 5+ years in technology domains including data & analytics.
  • Experience architecting analytics or data platform solutions.
  • Design, implement or consult on cloud architectures.
  • Experience migrating legacy solutions to the cloud.
  • Excellent ability to communicate with executives and non-technical stakeholders.

Responsibilities

  • Design end-to-end analytics solutions for AWS Healthcare & Life Sciences customers.
  • Lead technical discussions on data, AI and analytics with customers.
  • Translate business needs into scalable AWS-based architectures.
  • Lead assessments and optimization engagements with a focus on cost and reliability.
  • Provide advisory sessions and drive analytics service adoption.
  • Collaborate with sales, product and engineering to align requirements.
  • Stay current on GenAI trends to help customers stay competitive.

Skills

Tech domain exp
Analytics solutions
Executive stakeholder comms

Tools

Amazon S3
AWS Glue
AWS Lake Formation
Redshift
Amazon Athena
Amazon EMR
Amazon Quick

Job description

Amazon Web Services is seeking a Senior Solutions Architect to lead data, analytics, and AI conversations with healthcare and life sciences customers. You will translate business needs into scalable AWS architectures, drive assessments and optimization engagements, and mentor teams to deliver value with data-driven strategies.

You will collaborate across sales, product, and engineering, staying abreast of GenAI trends to ensure customers maintain a competitive edge and achieve revenue growth

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