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
Solid 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
Designing modular, reusable platform patterns — frameworks, plugins, or marketplaces — that scale automation across many teams
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 professional 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 (Quebec City)
🏢 GoDaddy
📍 Quebec City