Principal AI & Data Architect
Naresh ReddyUnited StatesSENIORPosted 42m ago
SnowflakeSemantic ModelingAgentic AIData EngineeringData ArchitectureAnalyticsSQLPythondbtAirflowDagsterKafkaCI/CDGitTerraformAWSAzureGCPData GovernanceSecurityPrivacyKnowledge GraphsOntologiesRDFOWLNeo4jVector DatabasesMLOpsFeature Stores
About the Role
We are seeking a Principal AI & Data Architect to join ArgeneX. This role requires extensive experience in data engineering, architecture, and analytics, with a focus on AI and data solutions.
Key Responsibilities
• Design and implement enterprise-scale Snowflake architecture
• Develop semantic layer designs and data models
• Deliver GenAI and agentic AI solutions in production
• Lead data governance, security, and privacy initiatives
• Manage stakeholder communication and provide technical leadership
Requirements
• Minimum 12 years in data engineering, data architecture, or analytics
• 5+ years in architect-level roles
• 3+ years of hands-on Snowflake architecture at enterprise scale
• Deep expertise in data modeling (3NF, dimensional, Data Vault)
• Proven delivery of GenAI/agentic AI solutions
• Strong SQL and Python skills
• Experience with dbt, Airflow/Dagster, Kafka, and CI/CD
• Experience on at least one major cloud (AWS, Azure, or GCP)
• Solid understanding of data governance, security, and privacy frameworks
Preferred Qualifications
• SnowPro Advanced certifications
• Experience with knowledge graphs/ontologies
• Experience with vector databases and embedding strategies
• Background in MLOps and feature stores
• Industry experience in BFSI, Healthcare, Retail, or Manufacturing
• Contributions to architecture blogs, talks, or open-source