Jobs → Data & Analytics → Principal AI & Data Architect

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

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