Senior Data & AI Analytics Solutions Architect

Amazon Web Services (AWS)

New York (NY)

On-site

USD 169,000 - 229,000

Full time

14 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 (AWS) is seeking a Senior Solutions Architect to drive data, analytics, and AI conversations with large AWS customers in the Healthcare & Life Sciences space. You will design secure, scalable analytics solutions and translate business needs into AWS-based architectures.

You will lead technical discussions, architect end-to-end data and AI workflows, and collaborate with sales, product, and engineering to ensure customer success and revenue growth through reusable reference

Qualifications

  • 5+ years in technology domains including data and analytics.
  • Experience architecting analytics or data platform solutions.
  • Strong ability to translate business requirements into scalable AWS-based architectures.
  • Experience communicating with executive stakeholders.
  • Experience migrating legacy solutions to the cloud.
  • AWS certifications preferred.

Responsibilities

  • Design and architect end-to-end analytics solutions for customers in the HCLS vertical.
  • Lead technical discussions on data, AI, and analytics solutions.
  • Translate business requirements into technical solutions addressing customer challenges.
  • Drive assessments and architecture reviews to optimize scalability, reliability, and cost.
  • Provide strategic guidance through advisory sessions and enablement workshops.
  • Collaborate with sales, product, and engineering to translate requirements into product enhancements.
  • Stay current with GenAI trends to help customers stay competitive.

Skills

Data & Analytics
Cloud Architecture
Stakeholder Communication
Data Warehousing
ETL/ELT
GenAI awareness
AWS Services

Tools

Amazon S3
AWS Glue
Redshift
Athena
EMR

Job description

Amazon Web Services (AWS) is seeking a Senior Solutions Architect to drive data, analytics, and AI conversations with large AWS customers in the Healthcare & Life Sciences space. You will design secure, scalable analytics solutions and translate business needs into AWS-based architectures.

You will lead technical discussions, architect end-to-end data and AI workflows, and collaborate with sales, product, and engineering to ensure customer success and revenue growth through reusable reference

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