Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III at JPMorganChase within Neovest, you are a seasoned member of an agile team responsible for designing and delivering trusted solutions for data collection, storage, access, and analytics in a secure, stable, and scalable manner. You will engineer and administer secure, scalable, and highly available database platforms, while supporting critical data pipelines and reporting systems.
Job Responsibilities
- Serve as the platform administrator for PMS SQL Server databases in both production and non-production environments.
- Design, maintain, and enhance platform architectures for on-premises, Azure VM, and Google Cloud Platform (GCP) SQL Server instances.
- Establish and enforce standards for database availability, performance, security, patching, and lifecycle management.
- Install, configure, patch, and maintain SQL Server instances in on-premises and cloud environments.
- Manage performance tuning, indexing, replication, encryption, and secure configuration standards.
- Oversee high-availability and disaster recovery solutions, including Always On and clustering.
- Implement and maintain database monitoring, capacity planning, cost optimization, and scaling strategies.
- Administer backup and restore processes using SQL Server tools, PowerShell, and automation frameworks.
- Provision, configure, and support GCP database services.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Experience in Microsoft SQL Server engineering and administration.
- Strong knowledge of Always On Availability Groups, Windows Server Failover Clustering, backup/restore, and performance tuning.
- Advanced T-SQL skills, including troubleshooting complex scenarios.
- Experience managing large fleets of production databases across multiple customer environments.
- Proficiency with Git-based source control and database change workflows.
- Ability to lead production incident response and conduct postmortem analysis.
- Strong documentation and communication skills.
- Working knowledge of NoSQL databases.
- Experience with statistical data analysis and selecting appropriate tools and methods.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
Preferred qualifications, capabilities, and skills
- Experience supporting portfolio management, trading, or financial systems.
- Background in database DevOps, CI/CD pipeline design, and release governance.
- Familiarity with Azure and GCP SQL Server VM operations.
- Experience defining platform programs, charters, KPIs, and operational metrics.
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- Experience with report development using SQL Server Reporting Services, Excel, or Metabase.
- Experience collaborating with stakeholders to translate reporting requirements into technical specifications.