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DataBricks Engineer AI Infrastructure Architecture Senior Analyst

SpringCube

Full time - Senior Engineer

IT Services & Consulting

Singapore, All Areas

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading technology solutions organization is seeking a DataBricks Engineer to support AI infrastructure architecture initiatives. The company delivers innovative AI and data platform solutions, enabling enterprises to leverage generative AI, scalable data pipelines, and high-performance analytics for business transformation and operational efficiency.

About the Role
As a Generative AI Platform Analyst, you will design, build, and operate scalable infrastructure supporting large-scale training and inference of generative AI models on the Databricks platform. You will collaborate with cross-functional teams to deliver reliable, cost-efficient, and high-performance solutions while developing deep expertise in modern data and AI platforms. This role provides hands-on exposure to cutting-edge generative AI technologies in a collaborative environment that fosters learning, innovation, and continuous improvement.

Key Responsibilities

  • Architect and implement infrastructure for large-scale training and inference of generative AI models
  • Design and optimize platform infrastructure for performance, scalability, consumption, and cost efficiency
  • Evaluate infrastructure options and contribute to technology and vendor recommendations
  • Develop operational controls, monitoring, and observability solutions for generative AI platforms
  • Implement control towers to monitor platform health, usage, and operational performance
  • Work independently on assigned tasks while contributing to team discussions and solution design
  • Identify and propose improvements to platform reliability, efficiency, and usability
  • Stay current with advancements in Databricks and generative AI infrastructure best practices

Qualifications

Required Qualifications

  • Bachelor’s Degree in Computer Science, Engineering, Data, or a related field
  • Advanced proficiency with the Databricks Platform
  • Strong foundation in data processing concepts and practices
  • At least 1 year of experience in relevant data or platform engineering roles (including internships or project work)
  • Ability to work independently while collaborating effectively in a team environment
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications

  • Advanced proficiency in Data Engineering
  • Experience building and managing data pipelines
  • Hands-on experience with Databricks SQL
  • Exposure to Databricks administration tasks
  • Working knowledge of cloud infrastructure concepts

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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