Senior AWS Data Architect — Remote & Data Platform Modernization

Exavalu Solutions India Pvt Ltd

Poland

Remote

PLN 240,000 - 360,000

Full time

14 days+

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Job summary

Exavalu Solutions India Pvt Ltd is seeking an experienced Technical Architect to design scalable, high-performance data solutions. This is a remote position, with focus on Python, SQL, and AWS data platforms to translate business requirements into robust architectures.

You will lead data platform modernization on AWS, collaborate with cross-functional teams, review code, and provide architectural guidance while maintaining a hands-on role in Python development.

Qualifications

  • 12-15 years of IT experience with strong Data architecture background.
  • Strong Python development experience (up to 5 years).
  • Expert SQL and query optimization skills.
  • Hands-on AWS experience, especially Amazon Redshift and PostgreSQL.
  • Strong PostgreSQL design and performance tuning experience.
  • Unix/Shell scripting.

Responsibilities

  • Translate business and functional requirements into technical architecture and designs.
  • String hands on knowledge on Python, Teradata, Redshift.
  • Must have done couple of Data Platform modernization programs on AWS.
  • Strong knowledge on AWS PostgreSQL , Redshift and Teradata. Architect data solutions using AWS, PostgreSQL.
  • Design and review high-quality Python solutions.
  • Lead SQL design and performance tuning on large datasets.
  • Provide technical leadership, code reviews, and best-practice guidance.
  • Collaborate with cross-functional teams for end-to-end delivery.

Skills

Python
SQL
Data architecture
PostgreSQL
AWS
Teradata

Tools

Teradata
Redshift

Job description

Exavalu Solutions India Pvt Ltd is seeking an experienced Technical Architect to design scalable, high-performance data solutions. This is a remote position, with focus on Python, SQL, and AWS data platforms to translate business requirements into robust architectures.

You will lead data platform modernization on AWS, collaborate with cross-functional teams, review code, and provide architectural guidance while maintaining a hands-on role in Python development.

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