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# Manager, Database Platform

- **Company:** HORIZON 3, LLC
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $242,000.0 - $275,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Databases, Customer Data Management, Data as a Services, Data Architecture, Data Infrastructure, Data Integrity, Data Stores, Relational Databases, Software Design Documents, Amazon DynamoDB, Graph Database, Python (Programming Language), PostgreSQL, Online Analytical Processing, Neo4j, Query Optimization, SQL Databases, Data Processing, Business Intelligence Development Studio, Cloud Platform System, Data Ingestion, Amazon ElastiCache, Database Optimization, Database Performance, Data Layers, Kubernetes, Influxdb, Api Design, Api Management
- **Published:** October 9, 2026
- **Apply:** https://www.builtincolorado.com/job/senior-manager-database-platform/11573366?handler=ApplyRedirect

## About the Role

* Demonstrated experience leading teams that design, scale, and operate relational databases (PostgreSQL preferred) and hybrid data stores (graph, time-series, or document) in production at scale.
 * Experience defining schema migration strategies for high-velocity production environments with zero-downtime requirements.
 * Experience with multi-tenant data architectures: customer data isolation, row-level security, and data residency concerns.
 * Strong understanding of database performance: query optimization, indexing strategies, EXPLAIN analysis, and connection pooling.

Team Building & Engineering Culture

 * Experience building or significantly growing an engineering team - including hiring, onboarding, and establishing engineering norms tailored for data-intensive systems.
 * Proven ability to define and instill engineering culture: rigorous schema review, data integrity standards, operational runbooks, and oncall rotation.
 * Drives high-impact architecture decisions rigorously - requires design documents, runs structured reviews, builds consensus across platform teams.
 * Able to partner effectively with a Principal Engineer and leverage their technical leadership without diminishing team ownership.

Technical Expertise

 * Proficient in Go, Python, or SQL (deep expertise).
 * Production experience with PostgreSQL at scale: partitioning, logical replication, pg_bouncer/pgpool, read replicas.
 * Experience with AWS data services: RDS/Aurora, DynamoDB, ElastiCache, or equivalent.
 * Familiarity with graph databases (Neo4j, AWS Neptune) or time-series stores (TimescaleDB, InfluxDB) is a strong plus.
 * Kubernetes and containerized database operations - stateful workload management.

Nice to Haves

 * Background in cybersecurity data, threat intelligence feeds, or vulnerability databases.
 * Experience with data platform compliance: SOC 2, FedRAMP, or GDPR/CCPA data handling requirements.
 * Familiarity with analytical query patterns: BI tooling, OLAP workloads, or customer-facing analytics.
 * Experience operating databases in multi-region or active-active configurations.

## Description

You will lead the Database Platform team - the engineering team responsible for the data infrastructure that underpins every NodeZero pentest, finding, and report. NodeZero operates at scale: millions of discovered assets, tens of millions of vulnerability findings, and audit-critical data that our customers rely on to remediate risk. The Database Platform team owns the design, operation, and reliability of our core data layer - currently PostgreSQL as the primary store and Neo4j for the asset graph, with time-series and analytical stores on the roadmap as NodeZero's data volume and use cases grow. You will lead a team of ~8 engineers including a Principal Engineer, and you will build this team from a strong foundation into a fully staffed, world-class data platform organization.

 * Team Building & Culture: Hire, mentor, and grow the Database Platform team to full capacity. Establish database engineering norms and a culture of ownership for engineers who share responsibility for the most critical data layer in our stack.
 * Data Architecture: Partner with the Principal Engineer to define the technical direction for NodeZero's data platform - schema design standards, query patterns, migration strategies, and scalability principles.
 * Reliability & Operations: Own SLOs for database availability, query latency, and data integrity across production environments. Drive oncall maturity and runbook quality.
 * Data Modeling & Schema Governance: Establish schema review processes and data modeling standards. Ensure NodeZero's data model evolves cleanly as new pentest capabilities ship.
 * Cross-team Partnership: Collaborate with Data Ingestion, Security Research, and API Platform teams to align on data contracts, API design, and pipeline dependencies.
 * Act as a Product Owner: Translate data platform needs from Security Research and Product into a clear, prioritized engineering roadmap.