Lead Principal Data Systems Engineer: AI-Driven Architecture

Archer

United States

On-site

USD 123,000 - 306,000

Full time

9 hours ago
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Benefits offered by this job

Medical, dental, and vision insurance
401(k) Savings and Investment Plan
Paid time off
Paid holidays

Job summary

Archer, collaborating with Oracle, is shaping data services platforms by advancing databases and storage architecture, building scalable microservices, and applying in-database analytics and machine learning to improve performance and user value.

You will lead end-to-end software development, drive architectural patterns, and guide teams through design, testing, and optimization while emphasizing observability, reliability, and scalability.

Qualifications

  • Defines scalable patterns for microservices and data modeling (incl. spatial/graph).
  • Applies in-database analytics and machine learning to differentiate value and reduce latency.
  • Leads post-release analyses to connect features to revenue, adoption, and retention outcomes.

Responsibilities

  • Set product-wide patterns for microservices and data modeling to accelerate feature delivery.
  • Integrate in-database analytics and ML to enable personalization, recommendations, or fraud detection.
  • Define service-level objectives and enforce them via performance gates, query linting, and production telemetry.
  • Architects existing and modern/emerging new services.

Skills

Data modeling
Microservices
AI/GenAI
Performance engineering
Observability
Debugging
Software architecture
SQL databases
In-database analytics
Machine learning

Job description

Archer, collaborating with Oracle, is shaping data services platforms by advancing databases and storage architecture, building scalable microservices, and applying in-database analytics and machine learning to improve performance and user value.

You will lead end-to-end software development, drive architectural patterns, and guide teams through design, testing, and optimization while emphasizing observability, reliability, and scalability.

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