ETL Tech Lead — Data Platform & Real-Time Ops

Canal Insurance Company

Greenville (SC)

On-site

USD 110,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

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

Job summary

Canal Insurance Company in Greenville, SC seeks an ETL Team Lead to own end-to-end data pipeline operations, oversee SQL Server, SSIS, and data platforms, and drive reliability across the data stack. You will mentor developers, coordinate with AMS, and lead modernization efforts with Delta Lake, Fabric Lakehouse, and Databricks, enabling real-time insights and robust governance for enterprise reporting.

The role engages cross-functional teams and requires strong leadership in a fast-paced

Responsibilities

  • Own end-to-end operational support for Canal's data stack and ensure SLA adherence.
  • Monitor daily ETL loads across SQL jobs, DHIC, and legacy SSIS packages.
  • Troubleshoot pipeline failures and perform root-cause analysis with AMS.
  • Refactor or retire outdated or redundant ETL processes.
  • Develop reusable ingestion patterns for Guidewire DataHub, InfoCenter, HubSpot and Telematics.
  • Lead onshore/offshore developers, review code, and mentor junior engineers.
  • Collaborate with Scrum Masters, Project Managers, Enterprise Architecture and AMS support teams.
  • Build real-time data pipelines and analytics using Event Hub, Databricks and Medallion Architecture.

Skills

Technical leadership
Problem solving
Mentoring
SLA management
Cross-team collaboration

Tools

SQL Server
T-SQL
SSIS
PowerShell
Guidewire DataHub
InfoCenter
Oracle PL-SQL
SAP BODS
PostgreSQL
Delta Lake
Databricks
Azure Data Factory
Fabric Lakehouse

Job description

Canal Insurance Company in Greenville, SC seeks an ETL Team Lead to own end-to-end data pipeline operations, oversee SQL Server, SSIS, and data platforms, and drive reliability across the data stack. You will mentor developers, coordinate with AMS, and lead modernization efforts with Delta Lake, Fabric Lakehouse, and Databricks, enabling real-time insights and robust governance for enterprise reporting.

The role engages cross-functional teams and requires strong leadership in a fast-paced

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