• Own the future of HubSpot’s data stores • Shape the technical direction for the data platforms that underpin HubSpot’s products, with a focus on the data stores themselves and the systems around them. • Drive architectural decisions across storage, access patterns, scaling models, tenancy, performance, and developer ergonomics. • Help define what the next generation of HubSpot’s database platform should look like, not just how to operate the current one. • Be a deeply hands-on, high-leverage builder • Write production code regularly and lead complex initiatives from idea to rollout. • Build internal frameworks, APIs, and platform capabilities that make HubSpot’s data stores easier to adopt, extend, and evolve. • Turn ambiguous infrastructure problems into simple, scalable systems and clear technical direction. • Lead platform architecture across multiple domains • Work across big data, SQL/Vitess, batch, stream processing, and search to establish consistent platform patterns where they matter and domain-specific depth where they do not. • Define reusable abstractions for data storage, ingestion, processing, and access that reduce fragmentation across the engineering organization. • Push for simplicity, clarity, and extensibility in systems that can easily become overly bespoke or operationally heavy. • Influence across the broader engineering org • Partner with engineering and product leaders to align infrastructure direction with what HubSpot needs to build next. • Work horizontally across teams to guide technical tradeoffs, unblock difficult decisions, and raise the architectural bar for platform work. • Act as a multiplier through design reviews, technical mentoring, and principled decision-making on the most important systems in the space.

• Shape the technical direction for the data platforms • Drive architectural decisions • Write production code and lead complex initiatives • Build internal frameworks and APIs • Influence technical direction across teams

• Lead the technical strategy, architecture, and design for the collar • Translate customer and business needs into practical technical solutions • Ensure the collar meets requirements for performance, reliability, manufacturability, and cost • Work cross-functionally to support product discovery, experimentation, and field learning • Define and oversee validation, quality, and launch readiness activities • Identify and manage technical and production risks early • Support field issue investigations and drive continuous improvement • Track technical metrics and use data to guide engineering decisions

Role Description You will work closely with a Senior Product Manager (Data/API) who owns the strategy and roadmap for Quavo’s data platform and API-driven products. This Product Manager defines API contracts, data schemas, SLA targets, integration patterns, and relies on a strong engineering partner to turn those definitions into a reliable, scalable reality. Success in this role means building a trusted partnership with the Product team: - Translating requirements into technical solutions - Surfacing engineering constraints early - Co-owning delivery outcomes across data pipelines, APIs, and platform reliability We look for people who are: - Innovative — who act, learn, and improve with pace and intent - Accountable — who own outcomes from decision to result If you thrive in an environment where your technical decisions have real impact and autonomy is the norm, this role is for you. This role is not sponsorship eligible. Applicants must be legally authorized to work in the United States without employer visa sponsorship, now or in the future. Responsibilities - Data Platform & Pipeline Engineering - Design, build, and maintain scalable data pipelines and ETL/ELT processes that support real-time and batch data flows across Quavo's platform - Implement and optimize Snowflake schemas, including dimensional models, ER design, and normalization strategies aligned to API and reporting needs - Translate data product requirements — API contracts, data schemas, and SLA targets — into production-grade implementations - Monitor data quality, pipeline reliability, and latency; define and enforce data contracts to ensure consistency across consumers - API Development & Integration - Develop and maintain RESTful APIs that expose data platform capabilities to internal teams and external partners - Partner with the Product Manager on API versioning, deprecation policies, and developer-facing documentation - Build integrations with financial systems and third-party data providers, ensuring data integrity and regulatory compliance - Full Stack Development & Cloud Engineering - Lead end-to-end delivery of releases, patches, and hotfixes for Node.js applications deployed on AWS - Design software solutions that align architecture and cloud services with the overall IT and AWS strategy - Build and maintain front-end interfaces (Vue/Vuetify, HTML5, CSS3) that surface data insights to end users Qualifications - 5+ years of full stack development experience with a meaningful focus on data-intensive applications, including hands-on ownership of data pipelines, ETL/ELT processes, or API-driven data products in production - Proficiency with Snowflake or similar platforms, including schema design, query optimization, and working with large datasets across real-time and batch processing patterns - Proficiency in Node.js and JavaScript frameworks (e.g., Vue/Vuetify), with knowledge of front-end technologies including HTML5 and CSS3 - Hands-on experience with AWS services: EC2, S3, Lambda, and DynamoDB - Familiarity with CI/CD pipelines using Bitbucket and Bitbucket Pipelines Preferred Qualifications - AWS certification (e.g., AWS Certified Developer or AWS Certified Data Analytics) - Experience with Docker and container orchestration (e.g., Kubernetes) - Financial industry experience, particularly in fintech, payments, disputes, or fraud - Exposure to data observability tooling, data quality frameworks, or data contract implementations - Experience contributing to AI/ML-adjacent data products or feature pipelines - Familiarity with Agile Scrum Development