Staff Software Engineer, Data Platform

WHAT YOU’LL DO

• Lead the design and delivery of Built’s application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns.
• Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies.
• Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives.
• Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences.
• Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns.
• Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness.
• Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows.
• Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions.

SKILLS AND EXPERIENCE REQUIRED

• Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production.
• Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value.
• Full-stack web application experience, with backend-leaning product engineering depth.
• Strong experience with TypeScript, Node.js, React, and modern web application architecture.
• Experience with Python or demonstrated ability to work effectively in Python-based systems.
• Experience designing APIs, service boundaries, reusable application patterns, and production backend systems.
• Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership.
• Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis.
• Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension.
• Bias toward customer value over technology for technology’s sake.

PREFERRED

• Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products.
• Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes.
• Experience with AI or agentic product experiences.
• Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies.
• Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter.
• Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration.
• Experience mentoring engineers from adjacent disciplines into stronger software engineering practices.