ETL Lead

Delan Associates, Inc•Greenville, SC

7d•Onsite

About The Position

The ETL Lead will own end-to-end operational support for the existing data stack, ensuring the success of day-to-day production operations. This role involves monitoring daily ETL loads, troubleshooting pipeline failures and performance issues, ensuring SLA adherence, and providing direction for ETL maintenance. The lead will also be responsible for refactoring or retiring outdated ETL processes and maintaining/improving existing pipelines. Additionally, the role involves technical leadership, guiding developers, reviewing code, and mentoring junior engineers. The ETL Tech Lead will become the steady-state technical owner of the entire data operations layer during the Canal modernization journey. This includes developing reusable ingestion patterns, modernizing existing ETL workloads using Delta Lake, Medallion Architecture, and Fabric Lakehouse, and building scalable data ingestion pipelines using Azure Data Factory, MS Fabric, Databricks, and Synapse Pipelines. Experience with real-time data pipelines using Event Hub, Fabric Real-Time Analytics, Databricks Structured Streaming, and KQL-based event processing is crucial. The role also requires leadership in modern Azure data stack technologies, including implementing Medallion Architecture, leveraging Delta tables, building ingestion and transformation pipelines, and enabling real-time analytics. Data modeling, curation, governance, and preparing ML-ready datasets are also key aspects of this position.

Requirements

12+ years of experience
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
Experience designing and implementing real-time data pipelines using Event Hub, Fabric Real-Time Analytics, Databricks Structured Streaming, and KQL-based event processing.
Experience with modern Azure data stack technologies, including implementing Medallion Architecture (Bronze/Silver/Gold) across Fabric Lakehouse, Warehouse, Eventhouse, and KQL Database.
Experience leveraging Delta tables with schema enforcement, ACID compliance, and versioning.
Experience building ingestion and transformation pipelines using Dataflows Gen2, Fabric Pipelines, and Notebook-based ETL.
Experience enabling real-time analytics using RTA, EventStreams, and Event Hub.
Experience driving notebook-based transformations and advanced engineering using Databricks and Synapse runtimes.
Experience developing curated, analytics-ready datasets to support Power BI, operational reporting, and advanced analytics use cases.
Experience establishing robust data quality, validation, alerting, and observability frameworks.

Nice To Haves

Experience with upcoming technologies like Azure Data Factory, MS Fabric, Databricks, Synapse Pipelines.
Experience with AI/ML data enablement for pricing, risk, fraud detection, underwriting, claims leakage, and predictive insights.

Responsibilities

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.
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.
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.
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.
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—including Telematics alerting, FNOL automation, and fraud/VNOS/VNOP detection—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. 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.
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.
Prepare ML-ready datasets for pricing, risk, fraud detection, underwriting, claims leakage, and predictive insights.