Database Architect / DBA
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About the role
BlastPoint is hiring a Database Architect / DBA to help strengthen the foundation of the data systems that power our SaaS platform. This role is for someone who brings strong ownership, practical judgment, and structure to a data-heavy environment. We are looking for a hands-on database leader who can partner across Engineering, Data Engineering, DevOps, Security, Product, and Data Science to improve how our systems scale, perform, and support customer needs. The right person will be comfortable working in a lean, fast-moving environment where they may need to move from strategy to execution quickly. They should be able to assess what is working today, identify where risk or complexity exists, and help the team make smart, scalable decisions. AI is an important part of how we expect this person to work. We are looking for someone who can use AI as a co-engineer to move faster, improve analysis and documentation, troubleshoot issues, and strengthen database workflows while still applying sound judgment around production systems, security, privacy, and compliance. You will help shape database practices that support a growing SaaS platform serving customers with varied data, security, and compliance requirements. Primary Job Responsibilities Own database architecture, performance, reliability, security, and scalability for core platform systems. Use AI tools responsibly to accelerate database analysis, documentation, query tuning, troubleshooting, and workflow improvement. Design database approaches for both single-tenant and multi-tenant SaaS environments, including migration strategies between tenancy models. Improve tenant isolation, customer-specific data separation, scalability, and compliance-ready data architecture. Review and improve schemas, indexes, queries, migrations, and data access patterns. Optimize SQL performance, indexing strategies, execution plans, and database bottlenecks. Partner with Engineering and Data Engineering on schema design, data modeling, migrations, pipelines, and performance-sensitive application changes. Help define database strategies across OLTP systems, OLAP workloads, reporting layers, and data pipelines. Strengthen database security practices, including encryption at rest, field-level encryption, column-level encryption, key management, access controls, and auditability. Establish practical standards for database migrations, rollback planning, production readiness, monitoring, backups, and disaster recovery. Support load testing, capacity planning, and performance benchmarking for critical workflows. Collaborate with DevOps on AWS-hosted database infrastructure, environment strategy, access controls, and cost