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# Data Systems Manager

- **Company:** LEDGENT
- **Location:** Spring, TX, United States
- **Experience:** Expert
- **Salary:** $110,000 - $150,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, Backup Devices, Cloud Database, Information Systems, Databases, Data as a Services, Data Auditing, Data Integration, Data Security, Data Systems, Disaster Recovery, Identity and Access Management, IT Management, Interoperability, Microsoft Data Access Components, Microsoft SQL Server, SQL Azure, Power BI, Cloud Services, Software Deployment, Software Engineering, Systems Integration, Enterprise Data Management, Enterprise Software Applications, System Availability, Database Optimization, Reliability of Systems, Microsoft Fabric, Information Technology, Data Lineage, Performance Monitor, Data Management, Tools for Reporting, Restful APIs, Data Pipelines, Powerapps
- **Published:** November 12, 2026
- **Apply:** https://www.disabledperson.com/jobs/76464754-data-systems-manager

## About the Role

Education: Bachelor's degree in Computer Science, Information Systems, Data Management, or a related technical field (or equivalent combination of education and experience).
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Proven Experience: Five (5) or more years of hands-on experience supporting enterprise data systems, databases, integration pipelines, reporting platforms, or related technology operations.
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Technical Mastery: Demonstrated, deep experience managing Microsoft data ecosystems-specifically Microsoft Fabric, Azure, SQL Server or Azure SQL, and Power BI.
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Data Integration?? Expertise: Proven track record supporting system integrations, API interfaces, data pipelines, and distributed enterprise data environments.
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Architectural Literacy: Working knowledge of structural data modeling, data quality metrics, corporate data governance frameworks, security standards, access controls, and platform lifecycle management.
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Operations & Migration: Solid experience supporting production systems, executing migrations/upgrades, managing deployments, handling incident resolution, and driving continuous operational improvements.
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Strategic Communication: Ability to translate abstract business requirements into practical technical solutions, with strong skills in communicating architectural risks, options, and tradeoffs clearly to IT leadership.

## Description

A multi-billion dollar, multinational infrastructure corporation is seeking an experienced Data Systems Manager to assume day-to-day operational ownership of the enterprise data platform, systems integrations, reporting environments, and workflow solutions. This is a hands-on technical leadership position focused on strengthening service continuity, maximizing cloud database performance, and standardizing data governance practices across business divisions.

The Data Systems Manager will serve as a key technical resource for business and IT stakeholders, translating complex analytical requirements into practical, supportable cloud solutions. In this role, you will lead continuous improvement initiatives, manage critical database infrastructures, and enforce appropriate security access controls, compliance documentation, and platform lifecycle management., *
Operational Platform Ownership: Assume day-to-day management, support, and continuous improvement of enterprise data platforms, reporting environments, databases, and integrations.
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System Reliability & Monitoring: Ensure high availability, performance, capacity, security, and reliability of critical data services through proactive monitoring, incident response, maintenance routines, and disaster recovery planning.
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Core Ecosystem Management: Own and administer Microsoft Fabric, Azure SQL, on-premises SQL Server, and Power BI enterprise data environments.
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Pipeline & API Integration: Oversee the architectural design, implementation, support, and documentation of APIs, system interfaces, scheduled data exchanges, and secure data pipelines across enterprise applications.
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Standardization & Governance: Establish rigorous standards for system interoperability, data reconciliation, error handling, change control, and production support.
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Database Administration (DBA): Manage database performance tuning, backups, recovery practices, capacity planning, identity access management, and hardware/software lifecycle requirements.
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Data Modeling & Analytics: Own enterprise datasets, data models, and semantic models to support reliable reporting, advanced analytics, and business decision-making.
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Data Quality Assurance: Improve data reporting accuracy through appropriate validation checks, automated monitoring, data lineage controls, and issue remediation.
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Workflow Automation: Govern Microsoft Power Platform solutions (including Power Apps and Power Automate) to deliver workflow improvements that reduce manual effort and operational risk.
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Deployment Coordination: Coordinate complex data migrations, system upgrades, production deployments, and environment changes alongside application owners, infrastructure teams, security, and external vendors.

Project & Platform Environment

 * High-availability, multi-entity corporate data environment driving enterprise infrastructure.
 * Collaborative technical team setting with a strong commitment to digital transformation and technology modernization.
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Core Tech Stack: Microsoft Fabric, Azure SQL, SQL Server, Power BI, Power Platform (Power Apps & Power Automate), REST APIs, and automated data pipelines.