Software Engineer II - Data Management

About The Role & Team

The Data Management team is building the Trust Engine that powers the entire product. We are moving beyond simple data entry to architecting a self-healing, intelligent data ecosystem.

As a member of the team, you will contribute to the technical vision for how customers define, govern, and trust their data at massive scale. You will help design and build systems that govern the data lifecycle, including complex ingestion planning, semantic enrichment, and data observability — spanning backend infrastructure, APIs, and the product surfaces customers interact with directly.

You will be at the forefront of transforming data governance from a manual chore into an automated, AI-driven infrastructure that powers our 'Ask AI' and Data Assistant capabilities. You are helping solve the hardest problem in analytics: proving that the data is right.

The team is fast moving and you will be expected to iterate quickly and own, drive and achieve alignment on a variety of projects ranging from new product features to best practices and scalability of our codebase & infrastructure.

As a Senior Engineer, you will:

• Ship features end-to-end. Take ownership of features and improvements that measurably improve data quality, reliability, and the customer experience — from design through delivery, with support from senior teammates where needed.
• Contribute to technical discussions. Participate actively in design and code reviews, ask good questions, propose solutions, and help raise the quality bar for the work you're closest to.
• Build for reliability. Instrument the services you build, contribute to on-call rotations, respond to incidents, and leave systems better than you found them.
• Write correct, scalable code. Contribute to ingestion and governance workflows with attention to correctness, performance, and testability — applying appropriate caching, error handling, and resilience patterns.
• Help build trusted data foundations. Work on capabilities such as event/property observability (anomalies, schema drift), safe clean-up workflows, metadata ingestion, and shared data health APIs — often in collaboration with AI foundations, Pipeline/Query, and Go-to-market teams.
• Contribute to fullstack delivery. Build features spanning backend services, data pipelines, and the UI and product surfaces customers use daily.
• Partner across functions. Work with Product, Design, and peer engineering teams to understand requirements and deliver well-grounded solutions.
• Grow and help others grow. Invest in your own development, share what you learn, and contribute to a culture of feedback and continuous improvement.

You'll be a great addition to the team if you have:

• Solid fullstack engineering experience. 2–4 years delivering features that span backend services and user-facing product, including APIs and interactive UI.
• Fullstack proficiency. Working skills in