> Markdown version of [/jobs/ext/2569606-technology-lead-azure-data-factory-adf-azure-databricks-operations](https://www.wearedevelopers.com/jobs/ext/2569606-technology-lead-azure-data-factory-adf-azure-databricks-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technology Lead - Azure Data Factory (ADF) & Azure Databricks Operations - **Company:** Ascii Group, LLC - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Salary:** $135,200.0 - **Contract:** Temporary contract - **Skills:** Data Infrastructure, Queue Management Systems, Release Management, DataOps, Runbook, Enterprise Data Management, Azure Data Factory, System Availability, Mttr, Cloud Integration, Servicenow, Databricks - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/1e38ac5d-7f2c-45c7-a1bb-bb8c65785068 ## About the Role * Core Experience: 8-10+ years of experience in data operations with a dedicated focus on Azure Databricks, Enterprise Data Warehousing (EDWH), and Business Intelligence (BI). * Azure Integration Stack: Strong hands-on experience with Azure Data Factory (ADF), Databricks pipeline operations, execution troubleshooting, and monitoring. * Operational Excellence: Demonstrated expertise in Root Cause Analysis (RCA), Runbook/SOP creation, SLA management, and P1/P2 incident resolution. * Education & Certifications: 6+ minimum years required; relevant Azure Data Engineer or Databricks certifications preferred. Preferred Qualifications * Experience within the Healthcare domain. ## Description Seeking a Technology Lead - Azure Data Factory (ADF) & Azure Databricks Operations with 8-10+ years of data operations experience for a 6-month contract in Philadelphia, PA (local candidates highly preferred; relocation accepted if ready by Day 1). The lead will oversee onshore data operations across the Azure data platform, act as the escalation owner for P1/P2 incidents, and drive EDWH/BI pipeline reliability. Key responsibilities include troubleshooting Databricks job and pipeline failures, root cause analysis, developing Runbooks/SOPs, managing SLAs, and leading incident/change coordination. Note: Virtual interview process., * Data Platform Operations & Escalations: Lead onshore Azure data platform operations, serving as primary escalation owner for P1/P2 incidents, security compliance, and change coordination. * Pipeline & Databricks Troubleshooting: Analyze and resolve Databricks job/pipeline failures, perform deep root cause analysis (RCA), and maintain high system availability/MTTR targets. * Incident, Problem & Change Management: Oversee queue management, backlog prioritization, ServiceNow change requests, and release management across enterprise EDWH/BI workloads. * Operations Governance & SOPs: Develop, update, and maintain Runbooks, SOPs, and operational metrics reporting for continuous service improvement. * Cross-Functional Leadership: Coordinate across multi-disciplinary engineering, business, and operations teams to streamline enterprise data integration workflows. ## Related Videos - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Bridging AI and Nomad: a Go-based MCP Server for Cluster Control](https://www.wearedevelopers.com/videos/2063-bridging-ai-and-nomad-a-go-based-mcp-server-for-cluster-control) - [Automated MS SQL Server database deployments with dacpacs and Azure DevOps](https://www.wearedevelopers.com/videos/334-automated-ms-sql-server-database-deployments-with-dacpacs-and-azure-devops) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)