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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Data Specialist Sr - **Company:** Munich Reinsurance America - **Location:** Amelia, OH, United States - **Experience:** Expert - **Salary:** $141,800.0 - $207,900.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Warehousing, Digital Assets, Disaster Recovery, IT Management, Data Intelligence, Microsoft SQL Server, Operational Databases, DataOps, Technical Data Management Systems, Software Vulnerability Management, Enterprise Data Management, Azure Data Factory, Data Lakes, Information Technology, Data Management, Data Pipelines, Databricks - **Published:** October 27, 2026 - **Apply:** https://diversityjobs.com/career/18759959/Technical-Data-Specialist-Sr-Ohio-Amelia ## About the Role * Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent professional experience. * 7+ years of progressive experience in production support, data engineering, data operations, or technical leadership roles. * Experience supporting enterprise data platforms within financial services, insurance, or similarly regulated industries. * Experience with Databricks, SQL Server, Azure Data Factory (ADF), and Informatica Intelligent Data Management Cloud (IDMC). * Experience supporting ETL/ELT processes, data pipelines, and large-scale enterprise data environments. * Strong understanding of data warehouse, Lakehouse, and cloud-based data architectures. * Demonstrated experience with incident management, operational governance, service management, and production support frameworks. * Proven ability to collaborate with senior business stakeholders, product owners, architects, and technology teams. Preferred Qualifications * Experience supporting enterprise cloud platforms such as Microsoft Azure and Amazon Web Services (AWS). * Knowledge of disaster recovery planning, resilience testing, and business continuity practices. * Experience leading cross-functional operational improvement initiatives. * Strong analytical and problem-solving capabilities with the ability to translate technical challenges into business outcomes. * Demonstrated ability to influence decisions and drive alignment across multiple teams and stakeholders. ## Description The Technical Data Specialist Sr. plays a critical role in ensuring the reliability, availability, and operational effectiveness of Munich Re's enterprise data ecosystem. This position provides operational oversight of critical data warehouse capabilities, data quality, production support processes, and incident management activities. Working closely with business leaders, product owners, architects, engineers, and support teams, the successful candidate will drive operational excellence across data platforms while supporting strategic data transformation initiatives. This role combines production support leadership, data engineering expertise, stakeholder management, and operational governance to ensure data assets remain trusted, scalable, and business-ready. Key Responsibilities Lead Data Operations & Production Support * Oversee the health, availability, and reliability of enterprise data warehouse operations. * Direct the triage and resolution of production incidents, job failures, and data quality issues. * Establish incident priorities and drive root-cause analysis activities to prevent recurring issues. * Coordinate escalation management and stakeholder communications for critical production events. Drive Operational Excellence * Define and monitor operational success metrics for data products, reporting assets, platforms, and enterprise data capabilities. * Identify and prioritize enhancements that improve platform stability, scalability, performance, and usability. * Ensure operational documentation, support procedures, controls, and evidence remain current and audit-ready. * Support and continuously improve production support operating models and service management practices. Support Enterprise Data Platforms * Serve as a subject matter expert across data warehouses, data marts, data lakes, and data APIs. * Provide leadership across ETL/ELT processing environments and modern cloud-based data ecosystems. * Coordinate vulnerability remediation efforts, including Mythos findings, by partnering with infrastructure, architecture, delivery, and support teams. * Support the operational management of platforms including Databricks, SQL Server, Azure Data Factory (ADF), and Informatica IDMC. Enable Strategic Transformation * Lead strategic data-run initiatives supporting existing production environments and modernization programs. * Partner with business product owners and technology leaders to prioritize backlog items and enhancement opportunities. * Contribute to enterprise data transformation initiatives while maintaining continuity of day-to-day support responsibilities. * Help shape operational strategies that improve business value, platform adoption, and data reliability. Business Partnership & Governance * Collaborate with business and IT leadership to align operational priorities with organizational objectives. * Manage issue prioritization and resolution processes for production data defects. * Support compliance, governance, audit, and risk management activities. * Manage product budgets, including labor resources, subscriptions, licensing, and operational expenditures.