Database Platform Engineer

Introduction to Demandbase:

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth h 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.

Demandbase is hiring a Staff Database Platform Engineer to lead the evolution of how we manage databases in the cloud. In addition to operating monolithic databases, you’ll build the platforms, automation, and guardrails that empower product teams to provision, run, and monitor their own databases across AWS accounts. This role is about designing the future of database reliability at scale — with automation, observability, and compliance baked in — while still being able to ‘speak DBA’ when it comes to tuning and schema design.

You’ll provide technical leadership to a global DBRE team, drive automation and best practices, and partner with engineering teams to move faster — without compromising on stability.

• Automation & Platform
  • Build the Database Platform of the Future:
    Design automation and self-service frameworks for provisioning, scaling, and securing databases across AWS (RDS, Aurora, Dynamo
    
    DB) and other cloud-native stores.
  • Develop Infrastructure-as-Code modules (Terraform, Helm, Gitlab CI/CD) to eliminate manual operations.
  • Establish best practices for service-level databases in a microservices architecture (Postgres, MySQL, Dynamo
    
    DB, etc.).
  • Evaluate and guide architectural decisions for large-scale analytical and ETL workloads — helping the company choose the right data technologies (e.g., RDS/Aurora, Big Query, Iceberg or other cloud-native solutions) to balance performance, cost, and scalability.
  • Implement observability solutions (Prometheus, Grafana, Datadog, Open Search) for database health at scale.
• Support and Modernize Legacy Systems
  • Ensure availability, performance, and security of existing large-scale monolithic databases powering critical platform functions.
  • Lead efforts to reduce risk, cost, and complexity in these systems while preparing them for migration or replacement.
  • Guide safe transition of workloads from shared monolithic environments toward decentralized, service-owned models.
• Partner and Enable
  • Collaborate with product/platform teams on schema design, query optimization, and database best practices.
  • Provide tools, documentation, and onboarding support that empower teams to safely own and manage their databases.
• Lead & Mentor
  • Mentor DBREs to evolve from traditional DBA skillsets toward platform engineering and automation-first practices.
  • Influence organizational culture toward shift-left ownership of databases.
  • Participate in incident response/postmortems across both monolithic and service-owned systems.

• 10 years of experience in database reliability, platform engineering, or cloud infrastructure roles.
• Strong experience with Infrastructure-as-Code and automation (Terraform, Helm, Git Lab CI/CD, Kubernetes Operators, etc.).
• Proficiency with cloud-managed relational databases (Postgre
  
  SQL/MySQL on RDS/Aurora) and cloud-native databases (Dynamo
  
  DB).
• Proficiency with performance tuning, query optimization, and schema design.
• Experience modernizing and migrating legacy databases (including those used as ETL sources) into more scalable or fit-for-purpose systems, in partnership with data engineering/warehouse teams.
• Solid Linux skills and scripting (Python, Shell)
• Hands‑on experience with observability stacks (Prometheus, Grafana, Datadog, Open Search, or similar) and passionate about building reliable…