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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Warehouse Support Manager - **Company:** Arch Capital Group Ltd - **Location:** Flemington, NJ, United States - **Experience:** Experienced - **Salary:** $145,000 - $175,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Business Intelligence Development, Cloud Database, Information Systems, Data Governance, Extract Transform Load (ETL), Data Warehousing, Monitoring of Systems, Job Scheduling, Microsoft SQL Server, Power BI, Runbook, SQL Databases, Technical Data Management Systems, Cloud Platform System, Azure Data Factory, Snowflake, Microsoft Fabric, Information Technology, Data Lineage, Qlikview, Database Replication, Databricks - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-warehouse-support-manager-farmington-nj--2bdf1737-1c66-4b74-9dc0-e990c61341a3 ## About the Role Data Warehousing, Customer Service Management, Actuarial Skills, Time Management, Regulatory Reports, Financial Reporting, Customer Service Management, Reinsurance, Underwriting, Data Warehousing, * Bachelor's degree in computer science, Information Systems, or related field * 10+ years of experience in data warehouse support, operations, or administration, with at least 2-3 years in management or team lead capacity * Strong understanding of ETL/ELT processes, SQL, and relational/cloud database concepts, with hands-on experience across SQL Server and Snowflake * Working knowledge of Databricks (jobs, clusters, notebooks) and Azure Data Factory (pipelines, triggers, monitoring) * Experience with data replication/CDC tools such as Qlik Replicate * Experience with job scheduling and monitoring tools and incident management processes (ITIL framework experience a must) * Strong communication skills with the ability to translate technical issues for non-technical business stakeholders, * Direct experience in P&C reinsurance, specifically with treaty/facultative data, loss bordereaux, premium bordereaux, or cession accounting * Familiarity with actuarial data needs (loss triangles, exposure data, catastrophe modeling outputs) * Experience with Microsoft Fabric (Lakehouse, OneLake, Power BI integration) and Azure cloud ecosystem * Knowledge of Power BI report/dataset architecture and DAX troubleshooting * Familiarity with data governance and regulatory reporting requirements in (re)insurance * Experience with Databricks Unity Catalog or similar data governance/cataloging tools Key Competencies * Strong leadership and people management skills * Excellent problem-solving skills under time pressure, especially during critical reporting periods * High attention to detail and commitment to data accuracy * Ability to balance hands-on technical troubleshooting with managerial oversight * Strong vendor and stakeholder management skills * Comfortable operating across a hybrid on-prem/cloud data architecture For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible. ## Description With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility., We are seeking a Data Warehouse Support Manager to lead the ongoing support, stability, and performance of our Segment Data Warehouse environment, which underpins actuarial, underwriting, claims, and finance reporting across our Property & Casualty reinsurance business. This role bridges technical data warehouse operations with the business-critical needs of a reinsurance organization, ensuring accurate, timely, and reliable data for treaty analysis, loss reserving, exposure management, and regulatory reporting. Travel of up to 10% may be required outside of the country., * Manage day-to-day support operations for the data warehouse environment, including incident triage, root cause analysis, and resolution of data quality, ETL/ELT, and performance issues across Databricks, Azure Data Factory, Snowflake, and SQL Server * Lead a team of data warehouse analysts/engineers responsible for monitoring Azure Data Factory pipelines, Databricks jobs/notebooks, Qlik Replicate data replication streams, and SQL Server batch processes feeding actuarial and finance systems * Own the production support model: SLAs, escalation paths, on-call rotations, and incident/problem management aligned to business-critical reporting cycles (month-end, quarter-end, renewal seasons) * Oversee data quality controls and reconciliation processes to ensure consistency between source systems (policy admin, claims, ceded reinsurance systems) and the warehouse, including monitoring Qlik Replicate CDC pipelines for latency and data drift * Manage relationships with upstream data providers and downstream consumers, including third-party data feeds * Support and troubleshoot Power BI (Microsoft Fabric) semantic models, datasets, and refresh schedules, working closely with BI developers to resolve performance and connectivity issues * Drive continuous improvement initiatives to reduce recurring incidents, improve automation (e.g., ADF pipeline alerting, Databricks job monitoring), and enhance observability across the modern data stack * Maintain and improve documentation, including data lineage, runbooks, and support procedures across Databricks, ADF, Snowflake, and SQL Server environments * Coordinate with IT infrastructure, cloud platform, and BI/reporting teams on capacity planning, Microsoft Fabric/Azure environment upgrades, and change management * Ensure compliance with data governance, audit, and regulatory requirements relevant to reinsurance reporting (e.g., Solvency II, statutory filings) * Manage vendor relationships and contracts for outsourced support, Qlik licensing, and other platform tools * Own Datawarehouse production stability and operational readiness. * Lead quarter-close and business-critical reporting support activities. * Govern production change management, release validation, and rollback readiness. * Manage security access reviews, audit evidence, and compliance controls. * Drive AI-assisted automation for monitoring, RCA, and optimizing Datawarehouse operations. * Establish support KPIs, operational dashboards, and service improvement plans. * Manage onsite/offshore support capacity, vendor accountability, and knowledge retention. * Partner closely with Finance, Actuarial, Claims, and Underwriting stakeholders to prioritize production issues based on business impact.