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Principal Architect ( Management Company Tech )

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Onsite

Principal Architect ( Management Company Tech )

D E Shaw

Principal Architect ( Management Company Tech )

Skills

Data EngineeringPythonJava

3 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


You will be responsible for designing, developing, and delivering scalable, high-performance enterprise applications across the full technology stack. You will architect and implement robust data
strategies that include data pipelines, data infrastructure, business data modeling, computation framework, and storage design. You will be involved in driving database performance through optimized queries and efficient application design. Additionally, you will develop both high-level and low-level designs, ensuring scalability, availability, and maintainability. You will also work closely with business stakeholders, product teams, and tech leadership to define and implement the right platform design and ensure accountability in delivery. As a technical contributor, you will champion innovation by encouraging experimentation, continuous improvement, and the adoption of new technologies and processes to enhance platform capabilities and delivery outcomes.

WHO WE ARE LOOKING FOR:
The ideal candidate should hold?
Basic qualifications:

  • A bachelor's or master's degree in computer science or a related field with at least 8 years of relevant experience
  • Programming expertise in Python (preferred), Java, or C++, with the technical depth to lead meaningful architecture and code reviews
  • Expertise in standard algorithms, data structures, and performance-oriented application design
  • Experience building and delivering full-stack products, integrating front-end, back-end, and data layers
  • Experience building data platforms end-to-end, including data ingestion pipelines, data infrastructure, and storage design
  • Exceptional data engineering expertise across data modeling, including dimensional and multidimensional modeling, data pipeline development, computation engine, and computation frameworks
  • Demonstrated ability to engage stakeholders effectively, bridge communication gaps, and build trust across teams
  • Preferred qualification: Exposure to financial data modeling.

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