Lead, Data Engineer

Overview

Lead Data Engineer for AI Ops, responsible for designing, building, and evolving scalable data solutions for operational visibility, analytics, and intelligent decision-making.

What you'll do

• Provide technical leadership as a subject matter expert in data engineering.
• Conduct code reviews and deliver feedback to uphold engineering standards and solution quality.
• Design, develop, and maintain scalable data pipelines with performance, quality, security, observability, and resilience.
• Create and maintain technical documentation for requirements, designs, testing, and deployment/migration/rollback plans.
• Operationalize and deploy models as part of ML engineering tasks.
• Mentor junior team members through coaching, reviews, and knowledge sharing.

What you'll need

• Significant data engineering experience designing and operating scalable pipelines, platforms, and integrations.
• Ability to lead technical design efforts, conduct code reviews, and establish engineering standards.
• Hands-on experience with modern data engineering/orchestration tools and cloud or enterprise data platforms, including monitoring/observability and secure data processing.
• Experience building/ onboarding data to Cloudera (ideal candidate).
• Strong written and verbal communication skills for influencing stakeholders and producing clear documentation.
• Experience mentoring engineers and collaborating across technical, operational, and business teams.

Details

• Works with the AI Ops team that detects anomalies, predicts impact, and initiates remediation.