Staff Software Engineer, Data Platform
Job Description:Own End-to-End Delivery of Core Data Platform Components Design and ship the data normalization, schema mapping, validation, enrichment, and distribution pipeline for a net-new intelligent data warehouse Write production code as a hands-on individual contributor. This is not a role that delegates implementation to others Take technical ownership from architecture through deployment, with accountability for reliability, performance, and correctness Drive Technical Architecture Partner with a small seed team of senior engineers to define the end-to-end architecture for an AI-native data warehouse serving institutional financial clients Bring opinionated decisions on schema design, normalization strategies, API exposure patterns, and data distribution approaches Evaluate and select technologies with a bias toward what ships well and scales sustainably Build AI Evaluation Infrastructure Design and implement the evaluation framework that makes AI-generated outputs trustworthy in high-stakes financial data contexts Build cross-model comparison tooling, deterministic validation checks, and human-in-the-loop review workflows Contribute to shared AI infrastructure that will serve as a foundation for multiple products across the company Ship with AI-Native Development Practices Use agentic coding tools and LLM-assisted development as your primary workflow; this is how the entire team operates Bring strong opinions about how to get the most out of AI-assisted development while maintaining quality and reliability Contribute to the team's evolving practices around AI-accelerated SDLC Establish Technical Standards As an early senior voice on a new team, set coding standards, review practices, and architectural documentation that will scale Help define what "good" looks like for a team building at speed without sacrificing quality Mentor and provide technical guidance as the team grows from seed squad to full delivery organization Collaborate Across Engineering and Product Work closely with your engineering manager, peer engineers, and product management to translate requirements into executable technical plans Participate actively in design reviews and roadmap discussions with grounded, implementation-level perspective Engage directly with the nuances of private markets data – fund administration, investment data schemas, institutional reporting workflows – to build domain intuition that improves your technical decisions Requirements:7+ years of software engineering experience, with demonstrated Staff-level technical scope and impact A portfolio of shipped production systems. We will ask you to walk through specific technical decisions you personally made and code you personally wrote; this is not a role for someone whose primary contribution has been directing others. Strong hands-on experience with data pipeline or data warehouse engineering: schema design, ETL/ELT patterns, normalization, and API-based data distribution Production experience building with LLMs: prompt design, model orchestration, evaluation, and output validation in real systems, not just experimentation Fluency with AI-assisted and agentic development workflows; you use these tools daily and have strong opinions about how to use them effectively Experience with AWS data infrastructure; Redshift experience a plus Strong written communication – able to translate technical design into clear documentation for both engineering and product audiences. Benefits:Health, dental, and vision care for you and your family Life insurance Mental wellness coverage Fertility and growing family support Flex Time Off in addition to company-paid holidays Paid family leave, medical leave, and bereavement leave policies Retirement saving plans Allowance to customize your work and technology setup at home Annual professional development stipend