Staff Database Platform Engineer

Demandbase
San FranciscoPosted 1 April 2026

Job Description

Staff Database Platform Engineer Introduction to Demandbase: Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data, insights, actions, and outcomes, B2B enterprises can seamlessly align and execute their account-based GTM strategies with confidence. Thousands of businesses trust Demandbase to maximize revenue, minimize waste, and consolidate their data and tech stacks – all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have also continuously been recognized as One of The Best Places To Work in the San Francisco Bay Area by Fortune, and One of The 60 Best Companies To Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom. ABOUT THE ROLE As a Staff Database Platform Engineer, you will design, build, and evolve scalable database platforms that power Demandbase’s cloud-native applications. You will play a key role in defining the future of database reliability by embedding automation, observability, and compliance into how teams provision, operate, and scale databases across AWS environments. This is a senior individual contributor role with strong technical ownership and cross-team influence. You will provide leadership to a global DBRE organization, partner closely with product and platform teams, and modernize legacy database systems while enabling a shift toward service-owned, self-service models. The base compensation range for this position are for candidates based in San Francisco, CA. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience. RESPONSIBILITIES CORE ENGINEERING - Design and implement self-service database platforms that enable provisioning, scaling, and secure operations across AWS (RDS, Aurora, DynamoDB) and other cloud-native stores. - Develop Infrastructure-as-Code solutions (Terraform, Helm, GitLab CI/CD, Kubernetes Operators) to eliminate manual database operations and improve reliability. - Establish architectural standards and best practices for service-level databases in microservices environments (Postgres, MySQL, DynamoDB, etc.). - Evaluate and guide database architecture decisions for analytical and ETL workloads, balancing performance, scalability, and cost across technologies (RDS/Aurora, BigQuery, Iceberg, and other cloud-native solutions). - Build and maintain observability frameworks (Prometheus, Grafana, Datadog, OpenSearch) to ensure database health and operational excellence at scale. - Enhance system reliability through proactive monitoring, performance tuning, automation, and documentation. LEADERSHIP & BUSINESS ACUMEN - Define and drive the technical roadmap for database platform modernization aligned with broader engineering strategy. - Lead initiatives to reduce operational risk, cost, and complexity across legacy and monolithic database systems. - Guide architectural transitions from shared monolithic databases to decentralized, service-owned database models. - Partner with cross-functional stakeholders to ensure database architecture supports product scalability and business growth. - Balance innovation with operational stability to maintain high availability for mission-critical systems. COLLABORATION & MENTORSHIP - Collaborate with product and platform teams on schema design, query optimization, and database best practices. - Provide tooling, documentation, and onboarding frameworks that empower engineering teams to safely manage their own databases. - Mentor DBREs in evolving from traditional DBA practices toward pla ... (truncated, view full listing at source)
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