Irth Solutions Benefits Overview

Build and maintain batch and streaming data pipelines using Databricks, Spark, PySpark, and SQL. Develop AI-assisted ingestion, data-quality repair, document extraction, and human-review workflows. Manage Delta Lake storage, Unity Catalog metadata, geospatial processing, governance, lineage, orchestration, monitoring, CI/CD, and production support. Collaborate with architects and data scientists to operationalize a governed lakehouse platform for pipeline asset integrity data.

Build and productionize machine learning and GenAI solutions on a governed Databricks Lakehouse. Responsibilities include data pipelines, data quality, lineage, governance, model development, RAG, MLOps, CI/CD, monitoring, security, compliance, semantic modeling, and cost optimization. The role partners with product, engineering, data, and domain teams to deliver reliable AI capabilities and measurable business outcomes.

Design and own a unified data model for an AI-driven pipeline risk platform. Responsibilities include lakehouse and medallion architecture, geospatial modeling, entity resolution, ingestion patterns, governance, lineage, data quality, access controls, and traceability. Partner with data engineers, application engineers, and data scientists to implement schemas, pipelines, serving layers, and optimization strategies while maintaining clear architecture documentation.