Solutions Architect III - Amz9830172

Amazon Amazon · Big Tech · San Juan, Puerto Rico · Corporate Operations

Solutions Architect III role focused on designing and implementing data and AI solutions on AWS, including data pipelines and leveraging various AWS data and AI services. The role involves technical consultancy, maturity assessments, and roadmap definitions, acting as a Subject Matter Expert.

What you'd actually do

  1. Lead and deliver both strategic and technical consultancy around data and AI transformation initiatives, connecting business strategy with technical implementation.
  2. design and implement data analytics and AI solutions on AWS cloud while owning and executing strategic programs that include maturity assessments, data roadmap definitions, and data design thinking engagements.
  3. conduct specialized technical assessments of current data architectures and AI readiness, which inform the design of future-state architectures leveraging AWS data and AI services.
  4. develop comprehensive implementation roadmaps that combine technical expertise with strategic business outcomes, while guiding executive stakeholders through technical decision-making for data and AI initiatives.
  5. architect end-to-end data pipelines and serve as Subject Matter Expert in data and AI AWS services including Data Lakes, Big Data, Data Warehousing, Streaming, Business Intelligence, Data Governance, Generative AI, and Search and Operational Analytics.

Skills

Required

  • designing and implementing data analytics solutions in cloud environments
  • architecting data pipelines
  • Hadoop
  • Apache Spark
  • Apache Kafka
  • Iceberg or Hudi
  • data governance frameworks

What the JD emphasized

  • designing and implementing data analytics solutions in cloud environments
  • architecting data pipelines
  • data governance frameworks

Other signals

  • design and implement data analytics and AI solutions on AWS cloud
  • architect end-to-end data pipelines
  • Subject Matter Expert in data and AI AWS services including Data Lakes, Big Data, Data Warehousing, Streaming, Business Intelligence, Data Governance, Generative AI, and Search and Operational Analytics