About this opportunity
Techvilla Solutions lists this DFS Tower Lead opportunity in irvine, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are seeking an experienced DFS Tower Lead / L3 Production Support Engineer to provide technical leadership and advanced production support for enterprise data platforms and business-critical data pipelines. The role requires strong expertise in AWS, Databricks, Airflow, Dremio, Python, SQL, and data quality, with a focus on incident management, RCA, platform stability, upgrades, and continuous service improvement.
Required Technical / Functional Skills
*Strong experience with AWS, S3, Athena, and CloudWatch.
*Hands-on experience with Databricks, Dremio, and Apache Airflow.
*Strong programming and troubleshooting skills in Python and SQL.
*Experience with GitHub for source control and deployment support.
*Strong knowledge of metadata, data profiling, schema validation, and data quality checks.
*Experience with regression testing, runtime upgrades, patching, and environment maintenance.
*Strong expertise in production support, incident management, RCA, and permanent corrective actions.
*Good understanding of enterprise data platforms, ETL/ELT pipelines, and downstream data dependencies.
*Strong communication, stakeholder management, and technical leadership skills.
Roles & Responsibilities
*Lead L3 production support for enterprise data platforms and business-critical data pipelines.
*Monitor and support workloads across AWS, Databricks, Dremio, and Airflow environments.
*Troubleshoot complex production incidents and ensure resolution within defined SLAs.
*Perform detailed Root Cause Analysis (RCA) and implement permanent fixes.
*Analyze, debug, and optimize Airflow ETL/ELT workflows.
*Support Databricks clusters, jobs, notebooks, workflows, and runtime configurations.
*Use Python and SQL for troubleshooting, data validation, analysis, and operational activities.
*Monitor platform health and performance using AWS CloudWatch.
*Support data stored in S3 and queried through Athena.
*Perform data profiling, metadata validation, schema validation, and data quality checks.
*Support schema changes, column additions, and data model enhancements while ensuring downstream compatibility.
*Execute regression testing for deployments, platform changes, and infrastructure upgrades.
*Lead/support Databricks runtime upgrades, patching, and environment maintenance.
*Use GitHub for version control, release tracking, and deployment support.
*Collaborate with Data Engineering, Architecture, Business, and Infrastructure teams to resolve issues and improve platform stability.
*Participate in on-call support and critical incident management as required.
*Create and maintain operational runbooks, knowledge articles, and support documentation.
*Drive continuous improvement, automation, operational efficiency, and service stability across the data platform.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.