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GoDaddy

Domains, hosting, marketing, and e-commerce platform

Senior Software Development Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in Canada

About the Job

Requirements

  • At least 7 years of experience in data engineering, data platform engineering, or software engineering.
  • Strong data modeling and data architecture skills, including domain-driven design and building reusable data products for downstream consumers.
  • At least 5 years of professional Python experience building APIs, automation, and data or platform tooling, and the ability to troubleshoot distributed data systems.
  • Experience building self-service data experiences, such as APIs, workflows, or tooling that enable producers and consumers to work independently.
  • Experience designing modular, reusable platform patterns, such as frameworks, plugins, or marketplaces, that scale automation across many teams.
  • Hands-on experience with AWS services including S3, Lambda, Glue, Lake Formation, Redshift, and API Gateway; lakehouse architectures and Apache Iceberg in production; and orchestration with Apache Airflow.

Responsibilities

  • Design data models and domain-driven building blocks that transform raw data into reusable, well-governed data products for end consumers.
  • Contribute to enterprise data context, including 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 services built, lead root-cause analysis and after-action reviews, deliver durable fixes, and write runbooks that enable first-line support to resolve recurring issues.
  • Drive priorities for Platform UX services in partnership with engineering leadership and teams across US and India time zones by turning user needs into a prioritized backlog, weighing trade-offs, unblocking users, and owning delivery outcomes.

Desired Qualifications

  • Production experience building agentic or AI-assisted workflows for analytics, migration, or platform enablement, including semantic layers, ontologies, or knowledge graphs and knowledge bases for enterprise data.
  • Experience with data quality frameworks, data governance, or access management.

About the Company

GoDaddy

Domains, hosting, marketing, and e-commerce platform

GoDaddy is a global platform offering domain registration, hosting, website building, email marketing, and e-commerce tools for entrepreneurs and small businesses. Customers pick services like a domain and hosting and then use GoDaddy's tools to build a site, manage hosting, and market it, often with templates and security features. It differentiates itself by bundling a wide range of essential web services into a single, user-friendly platform with a large customer base. Its goal is to help entrepreneurs and small businesses succeed online by providing an integrated, easy-to-use suite that covers the full lifecycle of building and growing a digital presence.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Tempe, AZ
Founded
1997

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