Data Architect (Mid-Level)

About the Role

Data Architect – Insights (AI/ML) Location: Remote (US) Department: Insights (AI/ML) Reports to: Engineering Manager About the Role Irth is building a new AI-driven threat and risk management platform for pipeline asset integrity. The platform brings together three capabilities that have historically been separate at Irth : A governed, cross-product data platform built on Databricks and Azure An AI-powered ingestion layer that normalizes, repairs, and enriches customer data without services-heavy onboarding A reusable analytical layer that runs industry-standard, Irth -developed, and customer-built risk models against the data We are seeking a mid-level Data Architect to design the schema and data model that powers this platform. You will create a unified structure spanning asset integrity, damage prevention, and land and stakeholder management, capable of supporting probabilistic risk models that require dozens of precisely defined input attributes per pipeline segment. This is a hands-on design role. You will establish standards for data lineage, governance, and quality while working closely with the data engineering team to implement them. This role is ideal for someone with substantial experience in lakehouse and medallion architecture who is ready to own the data model for a platform rather than a single project. Key Responsibilities 1. Data Modeling & Architecture Design the schema and unified data model for the platform, spanning asset, inspection, incident, geospatial, and consequence data across multiple products. Apply medallion architecture patterns (Bronze, Silver, Gold) and define the semantic layer consumed by downstream models, reporting, and applications. Model the data required by probabilistic risk models, ensuring every required input attribute has a defined source, transformation path, and data-quality expectation. Design cross-product entity resolution so records from separate products reconcile to shared assets and entit

Key Responsibilities

• 1. Data Modeling & Architecture

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.