Build, deploy, and operate agentic AI systems that assist in Data Product development from inception through production
Collaborate with Data Engineering, Architecture, and AI teams to define patterns, guardrails, and reusable services
Ensure systems are reliable, observable, secure, and compliant with enterprise governance standards
Support and maintain existing AI agents and automation tools in production
Contribute to Data Platform Engineering standards and reference architectures

Requirements

2+ years of experience in data engineering, data platforms, or distributed systems
Hands-on experience developing production-grade AI agents, automation systems, or generative AI-powered applications
Strong proficiency in Python, SQL, and modern data engineering frameworks
Experience with cloud-native data platforms and services (GCP preferred)
Experience with IDMC and Snowflake data platforms
Expertise in building and operating ETL/ELT pipelines, orchestration, and metadata-driven systems
Knowledge of CI/CD, containerization, and DevOps patterns
Strong problem-solving skills and the ability to collaborate across engineering, AI, and platform teams
Ability to influence architecture and system design

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLAI agentsautomation systemsgenerative AIETLELTcloud-native data platformsCI/CDcontainerization

Soft Skills

problem-solvingcollaborationinfluence