
5001 - 10000 employees
Founded 1997
đŒ Consulting
đŁ Marketing
âïž SaaS
đ° $800M Post-IPO Equity on 2021-12
Consulting âą Marketing âą SaaS
GoDaddy is a web services company that provides domain registration, web hosting, website builder tools, and online marketing solutions to individuals and small-to-medium businesses. It offers software-as-a-service products that simplify creating and managing websites, email, e-commerce stores, and online presence. The platform serves both consumer and business customers and supports third-party site content and customer sites hosted on its infrastructure.
đ„ 17 minutes ago
đšđŠ Canada â Remote
đ” $128.5k - $192.5k / year
â° Full Time
đ Senior
đ§âđ» Full-stack Engineer
đ» Ghost score 0%
Where this job comes from
Posted on GoDaddy's careers page, not through a job board
First seen by Remote Rocketship 17 minutes ago

5001 - 10000 employees
Founded 1997
đŒ Consulting
đŁ Marketing
âïž SaaS
đ° $800M Post-IPO Equity on 2021-12
Consulting âą Marketing âą SaaS
GoDaddy is a web services company that provides domain registration, web hosting, website builder tools, and online marketing solutions to individuals and small-to-medium businesses. It offers software-as-a-service products that simplify creating and managing websites, email, e-commerce stores, and online presence. The platform serves both consumer and business customers and supports third-party site content and customer sites hosted on its infrastructure.
âą Design data models and domain-driven building blocks that turn raw data into reusable, well-governed data products âą Contribute to enterprise data context through semantic models, ontologies, and knowledge bases âą Build end-to-end self-service experiences for data producers and consumers, including onboarding, SQL automation, data quality monitoring, APIs, and workflows âą Build and evolve AI-assisted and agentic automation for migration support, impact assessment, and guided workflows âą Own incident response, lead root-cause analysis and after-action reviews, ship durable fixes, and write runbooks âą Drive Platform UX service priorities with engineering leadership and teams across US and India time zones âą Turn user needs into a prioritized backlog, weigh trade-offs, unblock users, and own delivery outcomes
âą 7+ years in data engineering, data platform engineering, or software engineering âą Strong data modeling and data architecture skills, including domain-driven design and building reusable data products for downstream consumers âą 5+ years of professional Python experience building APIs, automation, and data or platform tooling âą Ability to troubleshoot distributed data systems âą Experience building self-service data experiences, including APIs, workflows, or tooling âą Experience designing modular, reusable platform patterns such as frameworks, plugins, or marketplaces âą Hands-on experience with AWS, including S3, Lambda, Glue, Lake Formation, Redshift, and API Gateway âą Production experience with lakehouse architectures and Apache Iceberg âą Experience with orchestration using Apache Airflow âą Production experience building agentic or AI-assisted workflows is an additional qualification âą Experience with semantic layers, ontologies, knowledge graphs, or knowledge bases for enterprise data is an additional qualification âą Experience with data quality frameworks, data governance, or access management is an additional qualification
âą Competitive pay âą Generous time off âą Parental leave âą Health, dental, and vision insurance âą Life insurance âą Critical illness coverage âą AD&D coverage âą Health care spending account âą Employee assistance program âą Paid sick time âą Paid personal time âą Paid parental leave âą Remote work options âą Paid holidays âą Paid Wellness days âą Employee stock purchase plan âą Potential eligibility to participate in GoDaddy's equity plan âą Discretionary cash bonus scheme paying 15% of base salary based on individual and company performance âą Retirement savings program
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