Database Architect / DBA, BlastPoint

Founded in Pittsburgh, PA by Carnegie Mellon University alumni, BlastPoint is a data-driven, AI based customer intelligence product company. We sell our proven SaaS based technology to mid-sized and large organizations. Our unique data-driven customer intelligence technology allows organizations to develop predictive, action-ready, objective-oriented insights: from developing customer strategies, to optimizing customer engagement, to enabling the overall customer journey. BlastPoint’s key differentiator is its highly targeted, objective-driven intelligence.

BlastPoint is growing rapidly (300%-400% YoY), and has multiple large customers already established (billion dollars +). BlastPoint is presently engaged with large utilities, insurance and banking institutions, as well as large automakers, including Electric Vehicle manufacturers and customers in other related industries. With our rapid growth and proven technology, we are looking to build our teams quickly for continued growth and expansion into multiple industries and countries.

• Focus: Everyone at BlastPoint is highly motivated and driven for success. BlastPoint’s unique technology has brought significant results to our customers, creating huge opportunities for growth and developing a brand in the customer intelligence domain. BlastPoint offers an open culture to its employees, allowing them to bring new ideas and offer freedom in achieving results and objectives.
• Growth: BlastPoint is poised to make a difference in customer intelligence space and is at the brink of multifold growth. BlastPoint is a fit for anyone who wants to grow their career fast, take challenges, and make it big.
• Solve Challenging Problems: Customer intelligence is required in every aspect of business. BlastPoint’s platform incorporates cutting-edge approaches to geospatial data, machine learning, psychographic clustering, data enrichment, and a dynamic visualization environment–all at scale.
• Have An Impact: Small but mighty, BlastPoint’s growth is due to big companies increasingly trusting us with supporting key decisions using their most sensitive data.  What we do positively impacts the lives of millions of Americans (and beyond).
• Make Positive Change in the World: BlastPoint is all about green value. Our solutions reduce paper consumption, help struggling families pay their bills, and promote clean energy.  We also offer our platform for free to nonprofits and civic-oriented organizations.
• Employee-Focused Culture: We support the individual needs of our team, from schedule and time-off flexibility to generous compensation benefits. We also tailor growth opportunities, from skills training to industry conferences.

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.

• 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 optimization.

• 7+ years of experience in database administration, database architecture, data engineering, or backend systems engineering.
• Strong experience supporting production databases for SaaS, analytics, data-heavy, or customer-facing platforms.
• Comfort using AI tools as part of database engineering, analysis, documentation, troubleshooting, and workflow improvement.
• Background working with single-tenant and multi-tenant SaaS architectures.
• Strong understanding of tenant isolation, shared database models, dedicated database models, and hybrid tenancy approaches.
• Deep experience with relational databases such as PostgreSQL, MySQL, SQL Server, or similar.
• Strong knowledge of SQL performance tuning, indexing, query planning, schema design, and database internals.
• Understanding of OLTP and OLAP strategies, including when to separate transactional, analytical, reporting, and pipeline workloads.
• Data engineering exposure, including experience with data models, pipelines, warehouse or lakehouse patterns, ETL or ELT workflows, or analytics infrastructure.
• Understanding of database encryption patterns, including encryption at rest, field-level encryption, column-level encryption, key management, and secure access controls.
• Experience designing database systems that support varied industry, regulatory, security, and compliance requirements.
• Familiarity with cloud-hosted database environments, preferably AWS RDS, Aurora, Redshift, or related AWS data services.
• Ability to work independently in a lean, fast-moving engineering environment.
• Strong communication skills, especially around explaining technical tradeoffs, risks, and recommendations.
• Strong ownership, practical judgment, and ability to create structure from ambiguity.

Apply here.