Teams at OneMagnify

Leads the architecture, development, and governance of enterprise-scale cloud data platforms on GCP. Designs data lakes, warehouses, marts, ETL/ELT frameworks, batch and event-driven pipelines, and analytics solutions. Provides technical leadership, mentoring, code and architecture reviews, and engineering standards. Ensures data quality, security, observability, monitoring, and governance while optimizing BigQuery performance and cloud costs. Collaborates with stakeholders to translate business requirements into scalable data products and supports production troubleshooting.

Build and operate secure, scalable cloud infrastructure for AI and generative AI applications. Responsibilities include MLOps and LLMOps pipelines, CI/CD automation, infrastructure as code, container orchestration, observability, reliability engineering, security governance, and developer enablement. The role supports AI engineers, software engineers, and analytical modelers while managing production deployments, model versioning, evaluation, monitoring, drift detection, and hallucination mitigation.

Leads a cross-functional analytics team delivering sales, marketing, customer, and business performance insights. Manages people and projects, develops dashboards and reports, analyzes KPIs and campaign effectiveness, and translates complex data into recommendations for leadership and clients. The role involves querying and modeling large datasets, automating analytics processes, building customer profiles and forecasting models, and using AI-powered tools to improve efficiency and business outcomes.