Senior Data Operations & Production Lead

Munich Reinsurance America, Inc; Amelia (OH); Híbrido; USD 142 000 - 208 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Training programs

Career development

Wellness program

Competitive compensation

Resumo da oferta

Munich Reinsurance America, Inc in Princeton, NJ is seeking a Senior Technical Data Specialist to oversee data warehouse operations, data quality, and production support, ensuring reliability and governance across the data landscape.

The role partners with data engineers, product owners, and leadership to drive operational excellence, manage incidents, define metrics, and evolve cloud-based platforms such as Databricks, SQL Server, ADF, and IDMC.

Qualificações

• 7+ years in production support, data ops, or technical leadership.
• Experience with data platforms in financial services or regulated industries.
• Experience with data warehousing, lakes, and cloud-based architectures.
• Experience leading incident management and governance processes.

Responsabilidades

• Oversee health, availability, and reliability of enterprise data warehouse operations.
• Direct triage and resolution of production incidents and data quality issues.
• Establish incident priorities and drive root-cause analysis to prevent recurrence.
• Coordinate escalation and communications for critical production events.
• Define and monitor operational metrics for data products and platforms.
• Lead improvements to stability, performance, and usability of data platforms.

Conhecimentos

Data operations

Incident management

Stakeholder collaboration

Production support

Data governance

Formação académica

Bachelor's degree in CS/IT/Data Eng

Ferramentas

Databricks

SQL Server

Azure Data Factory

Informatica IDMC

Descrição da oferta de emprego

Munich Reinsurance America, Inc in Princeton, NJ is seeking a Senior Technical Data Specialist to oversee data warehouse operations, data quality, and production support, ensuring reliability and governance across the data landscape.

The role partners with data engineers, product owners, and leadership to drive operational excellence, manage incidents, define metrics, and evolve cloud-based platforms such as Databricks, SQL Server, ADF, and IDMC.