Senior Cloud Data Architect - AWS, ETL & Snowflake

Infosys Limited; Phoenix (AZ); In loco; USD 130.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Disability insurance

Health reimbursement accounts

Insurance (Accident)

401(k) plan

Descrizione del lavoro

Infosys Limited, via the DNA data and analytics unit, seeks a Senior Technical Architect to lead AWS, ETL, and Snowflake initiatives for data projects in the US. You\'ll review solution architectures, select technologies, mentor teams, and contribute to proposals and RFPs, ensuring scalable, reliable designs and active client collaboration.

Join a dynamic team driving data‑driven decisions and AI‑powered analytics at scale.

Competenze

• Bachelor’s degree or foreign equivalent required.
• Willingness to relocate and travel as needed.
• Authorized to work in the United States without employer sponsorship.

Mansioni

• Review, propose, and develop scalable solution architectures aligned to the client framework.
• Assess technologies and platforms for implementation to meet business needs.
• Guide integration strategies across diverse systems and data flows.
• Resolve complex technical challenges during build, deployment and support.
• Provide architectural insights to development teams and clients for successful delivery.
• Identify risks, monitor performance, and suggest optimization aligned to goals.
• Maintain comprehensive knowledge resources for critical information access.
• Contribute to proposals and RFPs with architectural insights and solutions.

Conoscenze

AWS

Snowflake

ETL

Formazione

Bachelor’s degree or foreign equivalent

Strumenti

Talend

Java

Spark

Python

Descrizione del lavoro

Infosys Limited, via the DNA data and analytics unit, seeks a Senior Technical Architect to lead AWS, ETL, and Snowflake initiatives for data projects in the US. You\'ll review solution architectures, select technologies, mentor teams, and contribute to proposals and RFPs, ensuring scalable, reliable designs and active client collaboration.

Join a dynamic team driving data‑driven decisions and AI‑powered analytics at scale.