Partner deeply across Product, GTM, Support, SRE, Infrastructure, and AI/Data teams Translate ... and senior database experts. The role requires enough depth to challenge designs, evaluate ...
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Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where ... Solid understanding of databases and working with sophisticated datasets in Salesforce environment.
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Senior Database Engineer information
See Sumner, WA salary details
$87.4K - $96.6K
5% of jobs
$96.6K - $105.9K
9% of jobs
$114.2K is the 25th percentile. Wages below this are outliers.
$105.9K - $115.1K
11% of jobs
$115.1K - $124.3K
13% of jobs
The median wage is $131.1K / yr.
$124.3K - $133.5K
16% of jobs
$133.5K - $142.8K
11% of jobs
$151.1K is the 75th percentile. Wages above this are outliers.
$142.8K - $152K
10% of jobs
$152K - $161.2K
9% of jobs
$161.2K - $170.4K
6% of jobs
$170.4K - $179.6K
5% of jobs
$179.6K - $188.9K
3% of jobs
$87.4K
$136.3K
$188.9K
How much do senior database engineer jobs pay per year?
What are some common challenges senior database engineers face when managing large-scale databases, and how are they typically addressed?
What is the difference between Senior Database Engineer vs Database Administrator?
| Aspect | Senior Database Engineer | Database Administrator |
|---|---|---|
| Primary Focus | Designing, developing, and optimizing database systems | Maintaining, backing up, and securing databases |
| Skills & Certifications | SQL, database architecture, performance tuning, certifications like Oracle or Microsoft SQL Server | Database management, backup/recovery, security, certifications like Oracle DBA or Microsoft Certified Database Administrator |
| Work Environment | Development teams, data engineering projects, system design | Operational teams, system maintenance, troubleshooting |
| Industry Usage | Used across tech, finance, healthcare for database development | Common in enterprise IT, government, and large organizations for database upkeep |
While both roles work closely with databases, a Senior Database Engineer primarily focuses on designing and optimizing database systems, whereas a Database Administrator handles daily maintenance, security, and backups. The roles complement each other but differ in scope and responsibilities.
What are the key skills and qualifications needed to thrive as a senior database engineer, and why are they important?
What is a senior database engineer?

Sr. Director of Engineering, Managed PostgreSQL and AI-Native Database Platform
Seattle, WA
Full-time
Re-posted 23 days ago
Job description
We are seeking a Senior Director of Engineering to lead DigitalOcean's Managed PostgreSQL organization. This leader will own the strategy, architecture, reliability, scalability and long-term evolution of our PostgreSQL offerings and the next generation capabilities that enable developers to build highly scalable, data-intensive, and AI-native applications.
The ideal candidate will merge sophisticated product vision with technical expertise in distributed systems and the rigorous operational standards required for database management. Your mandate is simple: make DigitalOcean Managed PostgreSQL trusted for mission-critical workloads today, and essential for AI-native builders tomorrow.
What You'll DoOwn Managed PostgreSQL end-to-endLead the organization responsible for all PostgreSQL editions, overseeing availability, scalability, security, and long-term architecture.
Build hyperscaler-grade reliability and operational excellenceEstablish tier-0 reliability standards. Execute against SLIs/SLOs for failover, backups, and query performance to ensure a high bar for operational excellence.
Scale Advanced Edition into a production-grade platformEvolve the Advanced Edition into a differentiated offering featuring HA architecture, consensus-based failover, and fast restore capabilities.
Serve large and demanding database customersSupport large-scale workloads (up to 64 TB) with storage scaling, read-only nodes, and query insights to meet demanding customer needs.
Define the AI-native PostgreSQL strategyIntegrate PostgreSQL with AI workflows via pgvector, metadata stores, and agent memory, positioning it as the core substrate for AI builders.
Build and scale a high-performing engineering organizationBuild a high-performing global organization with strong accountability and technical review mechanisms.
Partner deeply across Product, GTM, Support, SRE, Infrastructure, and AI/Data teamsTranslate customer needs, competitive gaps, and market shifts into a coherent engineering roadmap. Work closely with Product and GTM to define packaging, migration motions, enterprise readiness, roadmap sequencing, launch quality, and customer adoption.
Raise the technical barBe credible in architecture discussions with principal engineers and senior database experts. The role requires enough depth to challenge designs, evaluate tradeoffs, simplify complexity, and prevent the organization from accumulating reliability debt under the cover of roadmap velocity.
What Success Looks LikeKey outcomes within one year:
- PostgreSQL operates as a tier-0 service with measurable reliability gains and improved incident response.
- Advanced Edition has a credible path from preview/early adoption to production-grade readiness for demanding workloads.
- Large customer workloads have clear reference architectures, migration paths, operational playbooks, and escalation mechanisms.
- PostgreSQL has a differentiated AI-native roadmap, in addition to pgvector.
- Advanced Edition is production-ready and the technical strategy scales to 64 TB.
- DigitalOcean competes effectively against hyperscalers on price, reliability, and developer experience.
- 15+ years of engineering experience, including significant leadership of cloud infrastructure, database, storage, distributed systems, or data platform organizations.
- 6+ years managing managers and leading multi-team engineering organizations.
- Proven experience operating customer-facing, high-availability production services with strict reliability, durability, and incident-management expectations.
- Strong distributed systems foundation: replication, consensus, failure detection, failover, consistency, partitioning, control planes, fleet automation, and multi-tenant operations.
- Experience with database systems, managed database services, storage engines, query performance, backup/restore, high availability, or large-scale stateful infrastructure.
- Demonstrated ability to define multi-quarter technical strategy and convert it into shipped customer value.
- Strong customer judgment: ability to understand enterprise-grade workload requirements and separate real customer needs from noisy feature requests.
- Executive communication skills; able to represent the business and technical strategy to senior leadership, customers, partners, and GTM teams.
- Deep PostgreSQL experience, especially operating PostgreSQL at scaleÂ
- Experience with RDS/Aurora, AlloyDB, Cloud SQL, Azure Database for PostgreSQL, Neon, Crunchy, EDB, Yugabyte, Citus, Timescale, Supabase, or similar PostgreSQL ecosystems.
- Experience building or operating HA architectures using proxies, connection poolers, consensus systems, automated primary election, online upgrades, and backup/restore pipelines.
- Familiarity with pgvector, pgvectorscale, hybrid search, RAG architectures, AI application data patterns, and agent memory/state systems.
- Experience scaling databases beyond single-node limits through read scaling, sharding, distributed SQL, storage/compute separation, or workload-aware architecture.
- Experience partnering with product and GTM teams to turn platform capabilities into compelling commercial offerings.
- Open-source credibility or strong familiarity with the PostgreSQL ecosystem.
This leader will be accountable for metrics such as:
- Availability, failover success rate, RTO/RPO, backup success rate, restore time, and data durability.
- Fleet health, incident rate, change failure rate, mean time to detect, and mean time to recover.
- Query performance, replication lag, connection stability, noisy-neighbor isolation, and scaling workflow success.
- Advanced Edition adoption, migration success, revenue growth, attach rate, and retention.
- Large customer onboarding success and reduction in high-severity escalations.
- Engineering execution velocity, hiring quality, retention, and succession depth.
PostgreSQL is no longer just the default relational database for web applications. For AI-native companies, it is becoming the operational system of record, the metadata layer, the agent state store, the retrieval companion, and often the first place developers want to add vector and AI-aware capabilities.
DigitalOcean has a right to win here only if it is honest about the bar. Developers will forgive missing features before they forgive data loss, unreliable failover, poor observability, or painful scaling. This leader's job is to make Managed PostgreSQL boringly reliable at the core and strategically ambitious at the edge.
Compensation Range:Â- $261,600.00 - $327,000.00
*This is a hybrid role
JR: 2026-7844
#LI-Hybrid
About DigitalOcean
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
New York, NY, US
Year founded
2012