Define and drive the technical vision, architecture, and roadmap for an 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 and data scientists to translate business needs into solutions
Embed DevSecOps, DataOps, and agile methodologies into platform development and delivery
Evaluate emerging technologies and champion the adoption of Agentic AI frameworks for workflow automation

Requirements

10+ years as a Senior Software/Data Engineer or Software/Data Architect
Proven track record architecting and building scalable, cloud-native solutions
Deep knowledge of GCP, AWS, and multi-cloud ecosystems
Experience with GenAI, machine learning, and advanced analytics
Proficiency with Infrastructure-as-Code (Terraform, CloudFormation)
Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices
Google Professional Cloud Architect certification preferred
Must be authorized to work in the US without company sponsorship

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-powered data pipelinecloud-native solutionsGenAImachine learningadvanced analyticsInfrastructure-as-CodeTerraformCloudFormationDevSecOpsDataOps

Soft Skills

technical leadershipmentorshipsolution deliverystakeholder communicationcollaboration

Certifications

Google Professional Cloud Architect