Tech - Data Base Administrator

Category: Professional Employment Type: Full Time Location: US-Remote Department: Technology Reports To: Director of Engineering Additional Info: Visa / work permit sponsorship is not available for this position ##

Position Overview

We are seeking a

Database Administrator

(DBA) to manage, optimize, and safeguard our database platforms that supports the Onpoint Iris Agentic AI healthcare applications, AI-driven workflows, and clinical system integrations. This role is responsible for data modeling, database reliability, performance, backup and recovery, ETL data movement between systems, and ensuring data integrity across operational, reporting, and archival environments. The DBA will work closely with engineering, data, and infrastructure teams to support production workloads, integrations with EHR systems, and internal analytics while maintaining compliance with healthcare security and availability requirements. ##

Key Responsibilities

• *Database Administration & Operations** • Administer, maintain, and support relational database platforms across development, staging, and production environments.

• Manage database availability, reliability, and performance for mission‑critical applications.
• Perform routine database maintenance activities including:
• Index creation and optimization
• Query performance tuning
• Statistics management
• Schema changes and deployments
• Monitor database health, capacity, and usage trends; proactively address performance or scalability risks.
• *Backup, Recovery, and Storage**

• Design and maintain backup and retention strategies aligned with business continuity and disaster recovery requirements.

• Perform and validate database restores and recovery procedures on a regular basis.
• Manage database storage, capacity planning, and archival strategies (including warm and cold storage).
• Coordinate backup storage integrations with cloud storage services.
• *ETL & Data Movement**

• Support and maintain ETL‑style data pipelines between:

• Operational databases
• Reporting/analytics environments
• Data warehouses or backup storage systems
• Develop and maintain data extraction, transformation, and loading processes using SQL, stored procedures, and data movement tools.
• Ensure data consistency, integrity, and validation across source and target systems.
• Support scheduled and near‑real‑time data movement for integrations and downstream consumers.
• *Data Modeling & Schema Design**

• Collaborate with application engineers and data teams on:

• Logical and physical data models
• Schema design and evolution
• Referential integrity and normalization
• Review and optimize database designs for performance, scalability, and maintainability.
• Support incremental schema changes tied to application and integration requirements.
• Manage and execute

database schema changes using Infrastructure as Code (IaC) practices

, leveraging

Terraform

and CI/CD pipelines to ensure version‑controlled, auditable, and repeatable deployments across environments.

• Administer and support

non‑relational and modern data systems

including

document databases (e.g., Azure Cosmos DB)

and other cloud‑native data stores used by production applications and AI workloads.

• Manage operational aspects of

vector databases

and vector‑enabled data stores that support:

• AI/ML workflows
• Semantic search
• Retrieval‑augmented generation (RAG)
• Embedding storage and indexing
• Support and maintain

knowledge graph and graph‑based data systems

, including:

• Schema design and evolution
• Data integrity and relationship management
• Performance tuning and query optimization for graph‑style access patterns
• *Security, Compliance & Governance**

• Implement database security best practices including:

• Role‑based access controls
• Encryption at rest and in transit
• Auditing and logging
• Support compliance initiatives related to healthcare and security standards (e.g., HIPAA, SOC 2).
• Participate in security reviews, audits, and incident investigations related to data systems.
• *Collaboration & Support**

• Partner with application engineering, DevOps, and data teams to support releases and production operations.

• Assist with database troubleshooting and incident response.
• Contribute to documentation for database standards, operational procedures, and recovery processes.
• *Technology Environment (Representative)**

• Databases: Microsoft SQL Server, Azure SQL Database (PaaS), SQL Managed Instance, Azure Cosmos DB

• Cloud Platform: Microsoft Azure
• **Storage & Backup*

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