ETL Team Lead

Canal Insurance Company•Greenville, SC

9d•Onsite

About The Position

Canal Insurance Company specializes in insurance for commercial trucking and specialty transportation operations. Canal was founded in 1939 and is located in Greenville, South Carolina. At Canal, we recognize that our success would not be possible without the hard work and dedication of our employees. We know that happiness and productivity go hand in hand, and to that end, we consciously cultivate a culture that enables us to recruit and retain the very best talent in the business.

Requirements

Production Support, Operations & Reliability: Owns end-to-end operational support for Canal's existing data stack: Monitor daily ETL loads across SQL jobs, DHIC (GW DataHub and InfoCenter) and legacy SSIS packages. Work with AMS team where necessary to troubleshoot pipeline failures, performance issues, schema mismatches, permissions issues, and cloud resource failures. Work with AMS team where necessary to perform root-cause analysis and to implement permanent fixes. Ensure SLA adherence and on-time delivery of critical reporting datasets for scheduled ETL jobs. Provide direction for both AMS and ETL Developers for Legacy & Current ETL maintenance. Refactor or retire outdated or redundant ETL processes.
Maintain and improve existing pipelines that utilize the following technologies: Microsoft SQL Server Database programming, T-SQL Scripting, SQL Server Integration Services, Microsoft Powershell, Guidewire DataHub and InfoCenter, Oracle Database programming, Oracle PL-SQL Scripting, SAP BODS (SAP BusinessObjects Data Services), PostgreSQL Scripting.
Operational Excellence: Work with AMS team to assist with the creation and/or enhancement of operational runbooks, SOPs, monitoring dashboards, and incident response workflows. Partner with other IT operational segments, business SMEs, and AMS team to minimize downtime and to ensure that business SLAs are met. Improve upon existing, as well as implement new proactive for daily processing.
Business Continuity: Work with AMS team to ensure development support coverage for critical data pipelines (rotation-based). Support month-end and quarter-end financial reporting cycles. Coordinate production releases and validate deployments. The ETL Tech Lead will become the steady-state technical owner of the entire data operations layer during the Canal modernization journey.
Technical Leadership & Collaboration: Serve as technical lead guiding onshore/offshore developers. Review code, enforce best practices, and mentor junior engineers.
Partner with Scrum Masters, Project Managers, Enterprise Architecture, QA Automation, Change Management, and AMS support teams.
Data Ingestion, ETL/ELT Development & Optimization: Develop reusable ingestion patterns for Guidewire DataHub and InfoCenter, HubSpot, Telematics, and other facets of the business. Work with Canal Architects to modernize existing ETL workloads using Delta Lake, Medallion Architecture, and Fabric Lakehouse. Build scalable data ingestion pipelines using potential upcoming technology (Azure Data Factory, MS Fabric , Databricks, Synapse Pipelines, etc.). Work to bring in Internal and External integrations data into the platform.
Real-Time, Streaming & Event-Driven Engineering: Proven experience designing and implementing real-time data pipelines using Event Hub, Fabric Real-Time Analytics, Databricks Structured Streaming, and KQL-based event processing. Develop and enable real-time operational insights and automation capabilities—including Telematics alerting, FNOL automation, and fraud/VNOS/VNOP detection—through event-driven architectures and streaming analytics.
Modern Azure Data Stack Leadership: Lead the strategy, design, and engineering of Canal’s modern Azure data ecosystem using next-generation tools and Medallion Architecture, including: Implementing Medallion Architecture (Bronze/Silver/Gold) across Fabric Lakehouse, Warehouse, Eventhouse, and KQL Database. Leveraging Delta tables with schema enforcement, ACID compliance, and versioning.
Data Modeling, Curation & Governance: Develop curated, analytics-ready datasets to support Power BI, operational reporting, and advanced analytics use cases. Assist Canal architect with implementation of Data Governance tools. Establish robust data quality, validation, alerting, and observability frameworks to maintain accuracy, consistency, and trust in enterprise data.
AI/ML Data Enablement (Optional): Prepare ML-ready datasets for pricing, risk, fraud detection, underwriting, claims leakage, and predictive insights.

Nice To Haves

AI/ML Data Enablement (Optional): Prepare ML-ready datasets for pricing, risk, fraud detection, underwriting, claims leakage, and predictive insights.

Responsibilities

Production Support, Operations & Reliability: Owns end-to-end operational support for Canal's existing data stack, including monitoring daily ETL loads, troubleshooting pipeline failures, ensuring SLA adherence, and providing direction for ETL maintenance.
Maintain and improve existing pipelines that utilize technologies such as Microsoft SQL Server, T-SQL Scripting, SQL Server Integration Services, Microsoft Powershell, Guidewire DataHub and InfoCenter, Oracle Database programming, Oracle PL-SQL Scripting, SAP BODS, and PostgreSQL Scripting.
Operational Excellence: Assist with the creation and/or enhancement of operational runbooks, SOPs, monitoring dashboards, and incident response workflows. Partner with other IT operational segments, business SMEs, and AMS team to minimize downtime and ensure business SLAs are met. Improve upon existing, as well as implement new proactive measures for daily processing.
Business Continuity: Ensure development support coverage for critical data pipelines, support month-end and quarter-end financial reporting cycles, and coordinate production releases and validate deployments. Become the steady-state technical owner of the entire data operations layer during the Canal modernization journey.
Technical Leadership & Collaboration: Serve as technical lead guiding onshore/offshore developers, review code, enforce best practices, and mentor junior engineers. Partner with Scrum Masters, Project Managers, Enterprise Architecture, QA Automation, Change Management, and AMS support teams.
Data Ingestion, ETL/ELT Development & Optimization: Develop reusable ingestion patterns for Guidewire DataHub and InfoCenter, HubSpot, Telematics, and other business facets. Work with Canal Architects to modernize existing ETL workloads using Delta Lake, Medallion Architecture, and Fabric Lakehouse. Build scalable data ingestion pipelines using potential upcoming technology (Azure Data Factory, MS Fabric, Databricks, Synapse Pipelines, etc.). Work to bring in Internal and External integrations data into the platform.
Real-Time, Streaming & Event-Driven Engineering: Design and implement real-time data pipelines using Event Hub, Fabric Real-Time Analytics, Databricks Structured Streaming, and KQL-based event processing. Develop and enable real-time operational insights and automation capabilities through event-driven architectures and streaming analytics.
Modern Azure Data Stack Leadership: Lead the strategy, design, and engineering of Canal’s modern Azure data ecosystem using next-generation tools and Medallion Architecture, including implementing Medallion Architecture (Bronze/Silver/Gold) across Fabric Lakehouse, Warehouse, Eventhouse, and KQL Database. Leverage Delta tables with schema enforcement, ACID compliance, and versioning.
Data Modeling, Curation & Governance: Develop curated, analytics-ready datasets to support Power BI, operational reporting, and advanced analytics use cases. Assist Canal architect with implementation of Data Governance tools. Establish robust data quality, validation, alerting, and observability frameworks to maintain accuracy, consistency, and trust in enterprise data.
AI/ML Data Enablement (Optional): Prepare ML-ready datasets for pricing, risk, fraud detection, underwriting, claims leakage, and predictive insights.