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The role at a glance:
The Database Engineer/Developer serves as the primary owner and steward of NBBJ's SQL Server platforms and operational data systems within the Digital organization. This role is responsible for the design, implementation, operation, security, and ongoing evolution of business-critical databases that primarily support Finance, but also integrate with operations, analytics, and firmwide reporting. The position combines deep database administration responsibilities with hands-on development, data integration, and close collaboration with our Finance team, Cybersecurity, Infrastructure, HR, and application development teams.
In your new role, you will:
In practice, the role functions as the firm's technical authority for SQL-based data platforms, ensuring reliability, integrity, compliance, and continuity of NBBJ's core data assets. The approximate distribution of responsibilities is as follows:
55-65% Digital / firmwide responsibilities:
- Enterprise database development and architecture
- Data infrastructure and system integration
- Broader database administration supporting firm systems
35-45% Finance-focused responsibilities:
- Deltek Vantagepoint development, maintenance, and administration
- Finance-related analytics, 3rd party systems integrations, and reporting support
- AI and Database enhancements supporting Finance workflows and process evolution
Technical Responsibilities:
- SQL Platform Ownership and Administration
- Own and operate NBBJ's SQL Server environments, including standalone and clustered deployments, including both on-premises and Azure PaaS and IaaS instances.
- Own and operate non-SQL environments such as Redis, MongoDB, MySQL.
- Install, configure, patch, and upgrade SQL Server instances and related components such as SQL Server Integration Services and Reporting Services, during nights or weekends as needed.
- Serve as the primary escalation point for SQL platform issues, performance tuning, and stability concerns.
- Design and maintain high availability and failover configurations, including backup and recovery processes, to ensure business continuity.
Database Development and Data Engineering:
- Design, build, and maintain operational and reporting databases that support finance, operations, BIM, and studio leadership.
- Develop and maintain SQL objects including schemas, tables, views, stored procedures, and functions.
- Implement data transformations and pipelines using SQL Server Integration Services and related tooling.
- Modify data models to support evolving business requirements while maintaining data integrity and performance.
- Collaborate with stakeholders to implement repeatable, maintainable database changes and data engineering practices that support reliable reporting.
Enterprise Data Integration:
- Own and maintain data integrations between core enterprise systems, including Deltek Vantagepoint, HR and talent systems, finance and payroll platforms, and third-party vendors.
- Manage secure file transfers and system to system feeds, including SFTP based integrations.
- Troubleshoot and resolve data feed, synchronization, and downstream system issues in coordination with stakeholders.
- Ensure integrations are reliable, monitored, and documented to support operational continuity and reporting accuracy
- Security, Access, and Compliance Support
- Design and maintain role-based access controls for SQL environments, including separation of finance and nonfinance access.
- Collaborate with Cybersecurity and Infrastructure teams on security controls, service accounts, and incident response activities related to database systems.
- Support audit, compliance, and risk management activities by providing data, documentation, and secure handling of sensitive information.
- Ensure databases and integrations align with internal security standards and client confidentiality requirements.
Finance and Operational Partnership:
- Serve as a trusted technical partner to Finance, Operations, and other leadership teams.
- Support financial reporting and analysis lead process evolution, and drive system innovation.
- Translate strategic business questions into analytical approaches, including determining when traditional statistical methods, machine learning, or generative AI tools are