CanalConnect
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.
A Culture With YOU in Mind
Located in beautiful downtown Greenville, SC
Employee referral program
Casual dress code
Innovation-focused & customer-centric
80+ years of industry expertise
Committed to giving back to our community
Unquestioned integrity and commitment
Benefits at Canal
Basic & Voluntary Life Insurance Plans
Short Term & Long Term Disability
401(k) plan with company match up to 6%
Flexible Spending Accounts
Employee Assistance Programs
Generous PTO Plan
Major Accountabilities
Production Support, Operations & Reliability The ETL Team Lead 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Refactor or retire outdated or redundant ETL processes.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 Mangers, 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.
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—through event‑driven architectures and streaming analytics.
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.
Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.
#J-18808-Ljbffr
A Culture With YOU in Mind
Located in beautiful downtown Greenville, SC
Employee referral program
Casual dress code
Innovation-focused & customer-centric
80+ years of industry expertise
Committed to giving back to our community
Unquestioned integrity and commitment
Benefits at Canal
Basic & Voluntary Life Insurance Plans
Short Term & Long Term Disability
401(k) plan with company match up to 6%
Flexible Spending Accounts
Employee Assistance Programs
Generous PTO Plan
Major Accountabilities
Production Support, Operations & Reliability The ETL Team Lead 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 Mangers, 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.
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—through event‑driven architectures and streaming analytics.
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.
Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.
#J-18808-Ljbffr