The Role
Administer and support SQL Server and cloud databases, including clustering, high availability, installations, upgrades, migrations, tuning, monitoring, and troubleshooting. Diagnose production deadlocks, blocking, connectivity, access, and security issues. Manage very large databases, refine database processes, support applications and help desk operations, and collaborate with engineering and operations teams. The role requires extensive SQL Server experience, Azure or related cloud database experience, and hands-on tolling environment migration and performance optimization expertise.
Summary Generated by Built In
Job Description
- The Tolling group is seeking a SQL Server / Cloud DBA to join the Tolling Eng and Ops Team to administer and support SQL Server and cloud databases in the Tolling group; the role also includes help desk and application support responsibilities.
- The selected candidate will administer and support SQL Server and cloud databases in the Tolling group. Additional help desk and application support responsibilities will be part of rotation with the Tolling team.
The selected candidate has:
- Expertise working as a SQL Server DBA
- Expertise working with SQL clustering, mirroringand high availability
- Experience working with large SQL databases
- Expertise in writing Transact SQL
- Experience tuning SQL Server databases
- Expertise in installing, upgrading, patching andmigrating SQL Server databases
- Experience working on a Windows platform
- Exposure to SSIS, SSAS, & SSRS
- Experience working with Azure Cloud
The selected candidate will:
- Monitor databases to maintain/ensure database uptime and availability.
- Troubleshoot application/database issues related to connectivity, access, security, etc.
- Tune long running SQL
- Review & refine existing database tasks and processes to better align with agency/group priorities.
- Leverage & utilize O/S scripting utilities in support of database maintenance/diagnosis/support.
- Review the existing database implementation and propose, execute, and/or direct necessary changes.
- Perform SQL Server installations (2022,2025+ w/failover clustering).
- Support SQL Server databases (administration ,support, tuning).
- Knowledgeable of data modeling principles
Be expected to...
- Rely on experience and judgment to plan and accomplish goals.
- Independently perform a variety of complicated tasks.
- Work with a team of Engineering and Operations professionals.
- Communicate clearly and effectively, both speaking and in writing.
- At least 6 years of experience w/ Microsoft SQL Server database
- At least 1 year of Azure, Snowflake, or Databricks experience (a certification is acceptable in lieu of experience)
- Master’s degree in computer science, information systems or other applicable and/or equivalent skills, knowledge and/or work history
- Demonstrated experience in communicating effectively using standard requirements and design artifacts
- Minimum 3–4 years hands-on experience upgrading E ZPass Virginia Tolling SQL Server environments from SQL 2012 to SQL 2019, including compatibility evaluations, Query Tuning Assistant, and Database Migration Assistant.
- Experience diagnosing and resolving deadlocks and blocking in Tolling production workloads, including extended events, Query Store, and wait statistic analysis.
- Experience tuning Very Large Databases (2 TB+)including index optimization, long-running workload analysis, and minimizing resource contention.
- Desired knowledge of and experience with the following technologies:
- SQL Server 2019+
- Cloud databases (Azure, Snowflake, and/orDatabricks)
Skills Required
- At least 6 years of experience with Microsoft SQL Server databases
- At least 1 year of experience with Azure, Snowflake, or Databricks; certification may substitute for experience
- Master's degree in computer science, information systems, or a related field, or equivalent skills, knowledge, and work history
- Expertise working as a SQL Server database administrator
- Expertise with SQL clustering, mirroring, and high availability
- Experience with large SQL databases
- Expertise writing Transact-SQL
- Experience tuning SQL Server databases
- Expertise installing, upgrading, patching, and migrating SQL Server databases
- Experience working on a Windows platform
- Exposure to SSIS, SSAS, and SSRS
- Three to four years of hands-on experience upgrading E-ZPass Virginia Tolling SQL Server environments from SQL Server 2012 to SQL Server 2019, including compatibility evaluations, Query Tuning Assistant, and Database Migration Assistant
- Experience diagnosing and resolving deadlocks and blocking in tolling production workloads using Extended Events, Query Store, and wait-statistic analysis
- Experience tuning very large databases of 2 TB or more, including index optimization, long-running workload analysis, and minimizing resource contention
- Demonstrated experience communicating effectively using standard requirements and design artifacts
- Knowledge of data modeling principles
- Ability to communicate clearly and effectively in writing and verbally
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The Company
What We Do
Info Origin is an AI-first technology company. We design and deploy intelligent systems that help enterprises operate with clarity, speed, and scale. From advanced analytics to autonomous workflows, our work is grounded in real-world impact. Our approach brings together data, engineering, and AI to modernize applications, unlock insight, and orchestrate complex operations with precision. Our products and platforms extend this capability: AgentFarm — multi-agent, enterprise-grade, policy-governed AI workforce that enables structured execution, resilient workflows, and full auditability, with parallel reasoning, tool orchestration, and real-time observability. Contract Insights — AI-driven clause extraction, NL search multi-document comparison engine for legal and commercial workflows. CDMS — intelligent document creation, collaboration, and compliance, powered by AI-based automation. Info QA — codeless test automation with end-to-end traceability. We partner with organizations to translate AI ambition into measurable outcomes - securely, responsibly, and at scale.
