Senior AWS Data Platform Architect — Remote & Flexible Hours

BairesDev

México

Remote

MXN 2,216,000 - 3,323,000

Full time

14 days+

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Benefits offered by this job

100% remote
Hardware provided
Flexible hours
Paid parental leave
Vacation & holidays
Mentorship & growth

Job summary

BairesDev is seeking a Senior Data Platform Architect (AWS) to lead architectural assessment and design resilient data infrastructure. You will evaluate pipelines, lakehouse setups, and federated access, building a practical roadmap for team ramp-up and delivery.

You will collaborate with incumbents and consultants, advance a modern SDLC with AI-assisted code reviews, and contribute to a globally distributed, 100% remote team that values flexibility and continuous learning.

Qualifications

  • 8+ years of experience in data architecture with AWS.
  • Strong expertise in AWS lakehouse architecture, including S3 and Iceberg.
  • Hands-on experience with Apache Iceberg.
  • Experience with Starburst or Trino.
  • Proven experience with current-state assessment and roadmap development.
  • Advanced proficiency in English.

Responsibilities

  • Assess the current-state data platform, including pipelines, lakehouse architecture, and federated data access.
  • Design target-state resiliency architecture for the data platform.
  • Build a roadmap with concrete quick-action items for team ramp-up and execution.
  • Collaborate closely with incumbent architects and consultants on the engagement.
  • Critically review and correct AI-generated code as part of an AI-assisted SDLC.

Skills

AWS data architecture
AWS lakehouse (S3, Iceberg)
Apache Iceberg
Starburst/Trino
Roadmap development
English proficiency
8+ years experience

Job description

BairesDev is seeking a Senior Data Platform Architect (AWS) to lead architectural assessment and design resilient data infrastructure. You will evaluate pipelines, lakehouse setups, and federated access, building a practical roadmap for team ramp-up and delivery.

You will collaborate with incumbents and consultants, advance a modern SDLC with AI-assisted code reviews, and contribute to a globally distributed, 100% remote team that values flexibility and continuous learning.

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