Azure AKS Engineer: Data Platform & GenAI (Hybrid)

Persistent Systems

New Jersey

Hybrid

USD 140,000 - 200,000

Full time

40 hours ago
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Benefits offered by this job

Hybrid work
Education sponsorship
Long Service awards
Flexible hours

Job summary

Persistent Systems Limited is seeking an experienced Azure AKS Engineer to design and deliver scalable data platforms on Databricks Lakehouse. The role focuses on defining target architecture, engineering standards, and governance, with collaboration across client stakeholders, data engineers, and security teams.

You will evaluate technologies, develop reusable frameworks, and implement CI/CD for deployment and monitoring, while mentoring teammates and exploring GenAI patterns within an

Qualifications

  • 8 to 12 years of experience in data engineering and data architecture.
  • Experience delivering scalable, robust data solutions on Azure Databricks Lakehouse.
  • Ability to translate complex data concepts into actionable strategies.
  • Strong collaboration with stakeholders, data engineers, security teams, and vendors.

Responsibilities

  • Define and design robust data solutions meeting business needs.
  • Establish standards for data architecture and governance.
  • Lead architecture reviews and technology evaluations.
  • Implement CI/CD processes for deployment and monitoring.
  • Mentor team members and work with clients on GenAI patterns.

Skills

Azure AKS
Databricks Lakehouse
Data Architecture
Data Governance
CI/CD
Stakeholder Communication

Tools

Azure DevOps
GitHub Actions

Job description

Persistent Systems Limited is seeking an experienced Azure AKS Engineer to design and deliver scalable data platforms on Databricks Lakehouse. The role focuses on defining target architecture, engineering standards, and governance, with collaboration across client stakeholders, data engineers, and security teams.

You will evaluate technologies, develop reusable frameworks, and implement CI/CD for deployment and monitoring, while mentoring teammates and exploring GenAI patterns within an

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