Ladders
Principal Data & AI Platform Engineer, DataOps
Skills
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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