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Principal Data & AI Platform Engineer, DataOps

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Onsite

Principal Data & AI Platform Engineer, DataOps

Ladders

Principal Data & AI Platform Engineer, DataOps

Skills

Data EngineeringSnowflakeDatabricksAI

11 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

16 October 2026

What they need


For our client, we are seeking a Principal Data & AI Platform Engineer, DataOps to join the team of a leader in the Hospitals & Medical Centers space.

This role will shape the architecture and evolution of data platform capabilities that support reliable, large-scale data operations across the organization. You will bring AI-enabled approaches into DataOps workflows to improve pipeline resilience, observability, and operational decision-making. The position partners closely with engineering and cross-functional stakeholders to define requirements, establish reusable patterns, and productionize intelligent solutions that serve broad internal users.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $200,000 – $230,000 annually

Responsibilities

  • Architect and implement AI capabilities to enhance data processing systems
  • Build intelligent failure detection and recovery mechanisms for data pipelines
  • Develop AI-driven monitoring to detect anomalies and recommend actions
  • Design and evolve DataOps capabilities for enterprise data consumers
  • Productionize AI within data engineering operations with robust evaluation and observability
  • Collaborate with cross-functional teams to define requirements and drive solutions
  • Lead architecture reviews and establish reusable engineering patterns

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience accepted
  • 10+ years in data engineering, software engineering, or platform engineering with senior-level architecture experience
  • 3+ years applying AI or agentic capabilities in data engineering or operational workflows
  • Proven experience architecting large-scale data processing systems for broad user bases
  • Hands-on experience with AI-augmented solutions, including monitoring and operational support
  • Strong familiarity with modern data platforms like Databricks or Snowflake
  • Demonstrated ability to lead technical design and communicate effectively across teams

Benefits

  • Flexible vacation policy for personal time and relaxation
  • 80 hours of paid sick, safe, and caregiver leave annually for full-time positions

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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