ETL Lead

Delan Associates, Inc; Greenville (SC); On-site; USD 120,000 - 150,000; Full time

Job summary

Delan Associates, Inc. seeks an ETL Lead in Greenville, SC to own and optimize end-to-end data operations across Canal’s data stack. You will oversee production support, monitor daily ETL loads, and coordinate with AMS to troubleshoot and fix issues in a complex environment.

The role requires 12+ years in data engineering, strong SQL/SSIS skills, and experience with Guidewire Data Hub, Data Center, and modern Azure data tools. Onsite position with contract scope.

Qualifications

• 12+ years of data engineering or ETL experience.
• Extensive experience with SQL Server, SSIS and T-SQL.
• Experience with Azure Data Factory, Databricks and Synapse.
• Knowledge of Guidewire Data Hub and Info Center.
• Experience leading onshore/offshore development teams.
• Strong production support and incident management skills.

Responsibilities

• Own end-to-end operational support for data pipelines and ETL/ELT workloads.
• Monitor daily ETL loads across SQL jobs, DHIC, and legacy SSIS packages.
• Troubleshoot pipeline failures, performance issues, and schema or permissions problems.
• Provide direction to AMS and ETL developers for legacy and current workloads.
• Refactor or retire outdated ETL processes and improve pipelines.
• Develop ingestion patterns for Guidewire DataHub and other data sources, modernize with Delta Lake and Fabric Lakehouse.

Skills

ETL Lead

SQL

SSIS

T-SQL

PowerShell

Databricks

Azure Data Factory

Delta Lake

Fabric Lakehouse

Synapse

Guidewire Data Hub

Info Center

Oracle PL-SQL

PostgreSQL

Event Hub

Tools

Azure Data Factory

Databricks

Synapse

Delta Lake

Fabric Pipelines

Job description

Job Tittle: ETL Lead | Insurance Domain

Job Location: Green Ville , SC (Onsite)

Duration : 6+ Months contract

Visa: USC and GC

Years of Exp: 12+

Key Responsibilities

Production Support, Operations & Reliability

The ETL Team Lead owns end-to-end operational support for Canal’s existing data stack:

Ensure success of day-to-day production Operations.

Monitor daily ETL loads across SQL jobs, DHIC (GW Data Hub and Info Center) 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 Data Hub and Info Center
• 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.

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.
• Building ingestion and transformation pipelines using Dataflows Gen2, Fabric Pipelines, and Notebook-based ETL.
• Enabling real-time analytics using RTA, EventStreams, and Event Hub.
• Driving notebook-based transformations and advanced engineering using Databricks and Synapse runtimes.

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