Database Architect, DBA

BlastPoint

Database Architect / DBA strengthening the data systems for BlastPoint's SaaS platform. Collaborating with engineering teams to improve scale, performance, and compliance.

Posted 5/29/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $130,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLMySQLPostgresSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Base Salary + Equity (Ownership in BlastPoint)
Home Office: $500 stipend
Health: Medical, dental, and vision insurance
Time Off: 3 weeks paid vacation, 10 paid holidays, unlimited sick time
Retirement: 401(k)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

database architecturedatabase administrationdata engineeringSQL performance tuningschema designdata modelingquery planningencryption at restETL workflowsOLTP and OLAP strategies

Soft Skills

strong communication skillsownershippractical judgmentability to create structure from ambiguitycollaborationindependenceproblem-solvingworkflow improvementcustomer-specific data separationcapacity planning