Senior Software Development Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create data models and domain-driven components that transform raw data into reusable and well-governed data products.

• Enhance the enterprise data context through the development of semantic models, ontologies, and knowledge bases.

• Develop comprehensive self-service experiences for both data producers and consumers, covering onboarding, SQL automation, data quality monitoring, APIs, and workflows.

• Innovate and refine AI-assisted and agentic automation for migration support, impact assessments, and guided workflows.

• Manage incident responses, lead root-cause analyses and after-action reviews, implement durable fixes, and document runbooks.

• Collaborate with engineering leadership and teams across time zones in the US and India to set Platform UX service priorities.

• Translate user requirements into a prioritized backlog, evaluate trade-offs, remove obstacles for users, and ensure successful delivery outcomes.

⛳️ Requirements

• Over 7 years of experience in data engineering, data platform engineering, or software engineering.

• Proficient in data modeling and architecture, including domain-driven design and the creation of reusable data products for downstream users.

• At least 5 years of professional experience in Python, focusing on building APIs, automation, and data or platform tools.

• Demonstrated ability to troubleshoot distributed data systems.

• Familiarity with creating self-service data experiences, including APIs, workflows, or tools.

• Experience in designing modular and reusable platform patterns such as frameworks, plugins, or marketplaces.

• Practical knowledge of AWS services, including S3, Lambda, Glue, Lake Formation, Redshift, and API Gateway.

• Hands-on experience with lakehouse architectures and Apache Iceberg.

• Experience with orchestration tools, particularly Apache Airflow.

• Production experience in building agentic or AI-assisted workflows is a plus.

• Familiarity with semantic layers, ontologies, knowledge graphs, or knowledge bases in the context of enterprise data is an advantage.

• Experience with data quality frameworks, data governance, or access management is an additional asset.

🏝️ Benefits

• Competitive compensation.

• Generous vacation policy.

• Parental leave provisions.

• Comprehensive health, dental, and vision insurance.

• Life insurance coverage.

• Critical illness insurance.

• Accidental death and dismemberment (AD&D) coverage.

• Health care spending account.

• Employee assistance program.

• Paid sick leave.

• Paid personal days.

• Paid parental leave.

• Flexibility with remote work options.

• Paid holidays.

• Paid wellness days.

• Employee stock purchase plan.

• Potential eligibility for participation in GoDaddy's equity plan.

• Discretionary cash bonus program offering 15% of base salary based on individual and company performance.

• Retirement savings program.