Define and drive the technical vision, architecture, and roadmap for a next-generation, AI-powered data pipeline platform
Provide technical leadership and mentorship to engineering teams
Balance architecture leadership with hands-on prototyping and solution delivery
Work closely with business stakeholders, data scientists, and platform architects
Embed DevSecOps, DataOps, and agile methodologies into all aspects of platform development
Evaluate emerging technologies, conduct workshops, and champion the adoption of Agentic AI frameworks

Requirements

10+ years as a Senior Software/Data Engineer or Software/Data Architect
Proven track record architecting and building scalable, cloud-native solutions using GenAI, machine learning, and advanced analytics
Deep knowledge of GCP, AWS, and multi-cloud ecosystems
Experience with AgenticAI frameworks
Proficiency with Infrastructure-as-Code (Terraform, CloudFormation), microservices, API management, and event-driven architectures
Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices
GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift)
Demonstrated ability to lead, mentor, and inspire technical teams

Benefits

Professional development opportunities
Mentorship programs
Opportunities for career advancement

Applicant Tracking System Keywords

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

Hard Skills & Tools

AI-powered data pipelinecloud-native solutionsGenAImachine learningadvanced analyticsInfrastructure-as-CodemicroservicesAPI managementevent-driven architecturestest automation

Soft Skills

technical leadershipmentorshipsolution deliverycollaborationinspiration