Help shape how engineers, analysts, and business teams build on and use our enterprise data platform

You’ll design data products and the self-service experiences around them — from the data model to the APIs and workflows producers and consumers rely on — so teams can get what they need without waiting on tickets

You’ll also help build the enterprise data context that lets people and AI find, understand, and trust data

This role suits a hands‑on data engineer with strong data modeling, AWS, and Python skills who enjoys owning a problem from the user’s need down to the data underneath

Design data models and domain‑driven building blocks that turn raw data into reusable, well‑governed data products for end consumers

Contribute to the enterprise data context — semantic models, ontologies, and knowledge bases that make data discoverable and usable by people and AI agents

Build end‑to‑end self‑service experiences for data producers and consumers, including onboarding, SQL automation, data quality monitoring, and the APIs and workflows that expose data products

Build and evolve AI‑assisted and agentic automation that removes manual work, including migration support, impact assessment, and guided workflows for platform and data teams

Own incident response for the services you build: lead root‑cause analysis and after‑action reviews, ship durable fixes,



and write runbooks so first‑line support can resolve recurring issues on their own

Drive priorities for Platform UX services in partnership with engineering leadership and teams across US and India time zones: turn user needs into a prioritized backlog, weigh trade‑offs, unblock users, and own the outcomes of what you deliver

Strong data modeling and data architecture skills, including domain‑driven design and building reusable data products for downstream consumers

7+ years in data engineering, data platform engineering, or software engineering

Hands‑on experience with AWS (S3, Lambda, Glue, Lake Formation, Redshift, API Gateway), lakehouse architectures and Apache Iceberg in production, and orchestration with Apache Airflo

Building self‑service data experiences — APIs, workflows, or tooling that let producers and consumers work independently

5+ years of qualified Python, building APIs, automation, and data or platform tooling, with the ability to troubleshoot distributed data systems

Production experience building agentic or AI‑assisted workflows for analytics, migration, or platform enablement, including semantic layers, ontologies, or knowledge graphs/knowledge bases for enterprise data

Experience with data quality frameworks, data governance, or access management

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📌 Senior Software Development Engineer - Platform Engineer (Montreal)
🏢 GoDaddy
📍 Montreal