> Markdown version of [/jobs/ext/1402144-database-administrator](https://www.wearedevelopers.com/jobs/ext/1402144-database-administrator). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Database Administrator

- **Company:** Intersources Inc.
- **Location:** Richmond, VA, United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Query Performance, Amazon Web Services, Automation of Tests, Backup Devices, Cloud Database, Cloud Engineering, Databases, Data Dictionary, Data Governance, Data Infrastructure, Data Integrity, Relational Databases, Digital Assets, Disaster Recovery, PostgreSQL, Metadata, Microsoft SQL Server, MySQL, Performance Tuning, SQL Stored Procedures, Data Streaming, Transact-SQL, Cloud Platform System, Database Performance, Amazon Relational Database Service, Data Lineage, Performance Monitor, Databricks
- **Published:** July 23, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/32737662#/jobs/32737662

## About the Role

Amazon RDS (Relational Database Service)
Microsoft SQL Server
Databricks Unity Catalog, Experience: 3+ years of database administration experience working with various database management systems (specifically Microsoft SQL Server and cloud-native databases).
Preferred Platform Experience: Minimum 1-2 years of hands-on experience managing databases in AWS (Amazon RDS) and managing data governance via Databricks Unity Catalog.

Desired Skills & Experience -

Information Seeking: Expanded level; proactively investigates data anomalies and explores new cloud features.
Analytical & Conceptual Thinking: Fundamental level; ability to break down complex query performance issues and map data flows.
Communication for Results: Fundamental level; effectively collaborates with developers, data engineers, and business stakeholders to explain technical constraints and solutions.
Quality Orientation: Fundamental level; ensures high data integrity and adherence to operational standards

## Description

We are seeking a highly skilled and proactive Database Administrator to join our team. In this role, you will be responsible for designing, maintaining, and optimizing our database infrastructure to ensure high performance, security, and availability of our critical data assets., Designs, installs, maintains, and upgrades databases across production and non-production environments. Provides technical expertise in traditional and cloud database technologies, ensuring the overall performance, scalability, and security of the enterprise's database ecosystem. This role bridges standard relational database management (SQL Server) with managed cloud services (Amazon RDS) and advanced data governance (Unity Catalog).
Core & Platform-Specific Responsibilities
Top 7 Core Responsibilities
Database Planning & Architecture: Plans and organizes database activities regarding reliability, performance monitoring, tuning, security, backup, and disaster recovery across on-premises and cloud instances.
Performance Optimization: Monitors and analyzes database performance, calibrates DBMS parameters, and troubleshoots complex application (e.g., T-SQL) performance issues to ensure optimal throughput.
Database Modernization (Amazon RDS): Provisions, configures, and scales Amazon RDS instances (including SQL Server, PostgreSQL, or MySQL engines). Manages Multi-AZ deployments, automated snapshots, and storage autoscaling.
Data Governance & Access Control (Unity Catalog): Implements and manages Databricks Unity Catalog to enforce centralized access control, auditing, lineage tracking, and data security policies across workspace environments.
Development & Automation: Codes, edits, and installs stored procedures, functions, and automation scripts for accessing, maintaining, and populating databases.
Security & Permissions: Controls privileges, roles, and permissions for database users, ensuring least-privilege access and compliance with information security standards.
Lifecycle Management & Support: Performs database upgrades, schema migrations, and additions of new structures. Provides production support and database access 24/7 for critical environments.

Additional Responsibilities:

Environment Management: Maintains development, production, and multiple testing environments across local and cloud environments.
Capacity Planning: Monitors utilization metrics and storage trends to forecast capacity needs for both physical hardware and cloud-allocated storage.
Project Collaboration: Works on one or more projects as a core team member or occasional technical lead.
Documentation & Metadata: Develops and maintains enterprise data documentation, data dictionaries, and technical metadata within Unity Catalog and standard repositories.
Incident Resolution: Troubleshoots database accessibility, availability, or operability problems; determines root causes, mitigates risks, and implements permanent solutions.


## Related Videos

- [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one)
- [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata)
- [Branch your database like your code:  How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)