Senior Software Engineer

GoDaddy Inc.; United States; Remote; CAD 129,000 - 193,000; Full time

Job summary

GoDaddy is seeking a hands-on data engineer to design data products and self-service experiences on our enterprise data platform. You’ll model data, build APIs and workflows, and own problems from user needs to underlying data.

This remote role suits someone with strong data modeling, AWS, and Python skills who enjoys end-to-end ownership. You’ll collaborate across teams in US and India time zones, shaping semantic models and data quality, while delivering scalable patterns for data producers

Qualifications

• 7+ years in data engineering, data platform engineering, or software engineering.
• Strong data modeling and data architecture skills, incl. domain-driven design and reusable data products.
• 5+ years of professional Python, building APIs, automation, and data or platform tooling, with troubleshooting distributed data systems.
• Building self-service data experiences — APIs, workflows, or tooling for producers and consumers.
• Designing modular, reusable platform patterns — frameworks, plugins, or marketplaces for automation across teams.
• Hands-on experience with AWS (S3, Lambda, Glue, Lake Formation, Redshift, API Gateway), lakehouse architectures and Apache Iceberg; orchestration with Apache Airflow

Responsibilities

• 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

Skills

Data engineering

Data platform engineering

Software engineering

Data modeling

Data architecture

Domain-driven design

Reusable data products

Python

APIs

Automation

Data tooling

Self-service data

Modular design

AWS

Lakehouse

Apache Iceberg

Apache Airflow

Job description

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.

Join our team

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.

What you'll get to do...

• 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

Your experience should include...

• 7+ years 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
• 5+ years of professional Python, building APIs, automation, and data or platform tooling, with the ability to troubleshoot distributed data systems
• Building self-service data experiences — APIs, workflows, or tooling that let producers and consumers work independently
• 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

You might also have...

• 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

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...

GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

We also embrace our diverse culture and offer a range of Employee Resource Groups Culture. Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

What We Offer:

Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental leave, healthcare, retirement savings program, and much more. Offerings vary by location.

This role may be eligible to participate in GoDaddy's equity plan. All roles are generally eligible for the following benefits: health, dental, and vision insurance, life insurance, critical illness, AD&D, health care spending account, employee assistance program, paid sick time, paid personal time, paid parental leave, remote work options, paid holidays, paid Wellness days, employee stock purchase plan; and other benefits in accordance with GoDaddy's benefit plans and applicable law.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Please note:

• AI will not be used to screen, assess or select applicants other than as set out in the details in the application below.
• This job posting relates to an existing vacancy.

Compensation

In addition to the salary range below, the role may be eligible to participate in a discretionary cash bonus scheme that pays 15% of base salary based on individual and company performance.

Canada:

$128,500—$192,500 CAD

How GoDaddy Uses AI in its Recruiting Process:

At GoDaddy, we use assistive AI tools to help identify how an applicant’s skills and experience align with the job-related criteria for the role. The tool does not make hiring decisions, automatically reject candidates, or evaluate personal characteristics unrelated to job qualifications, such as age, health, or other legally protected characteristics. The tool supports, but does not replace, our recruiters’ and hiring managers’ independent review and evaluation of applications. Details about the personal data we process as part of your application and your privacy rights are available in our Applicant Privacy Policy: https://www.godaddy.com/en/legal/agreements/applicant-privacy-notice