Data Lead

Data Lead
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Location: Charlotte, NC, USAExperience: 12–15 YearsEmployment Type: PermanentOpenings: 1Job DescriptionWe are looking for an experienced Data Sustain Lead to manage BAU operations and L2/L3 production support for a customer marketing data platform. The ideal candidate will have strong experience in data pipeline monitoring, incident management, ETL troubleshooting, SQL-based root cause analysis, and production support automation.Key ResponsibilitiesMonitor data pipelines, batch jobs, data marts, and platform health to ensure SLA compliance.Manage incident triage and resolution using ServiceNow, following P1–P4 processes and response and resolution SLAs.Troubleshoot ETL pipelines and data workflows involving SAP BODS, Informatica/IICS, Airflow, and Snowflake.Perform SQL-based root cause analysis, data reconciliation, and data quality checks across source and target systems.Maintain and improve runbooks, SOPs, Confluence documentation, and Known Error Database (KEDB) articles.Support automated monitoring and alerting using AWS Lambda, CloudWatch, email notifications, and custom data quality checks.Manage production changes through implementation validation, verification, and rollback procedures.Conduct root cause analysis, track permanent fixes, and contribute to post-incident reviews.Develop automation and self-healing scripts using Python, Shell, or PowerShell.Use Grafana for monitoring and visualization, and leverage GitHub Copilot and prompt engineering to improve support productivity.Collaborate with onshore business and technical stakeholders during incidents and operational reviews.Participate in rotational 24×7 shifts, including US EST overlap and on-call support.Mandatory SkillsGitHub Copilot and Prompt EngineeringGrafana monitoring and dashboardsKnowledge Management and technical documentationMS SQL Server and SQL-based troubleshootingData pipeline monitoring and production supportIncident, problem, and change managementStrong communication and stakeholder managementGood to HaveExperience with SAP BODS, Informatica/IICS, Airflow, Snowflake tasks and streams.AWS fundamentals, including Lambda, S3, CloudWatch, and IAM.Exposure to Snowflake administration, Airflow DAG debugging, dbt tests, and data quality frameworks.Experience with chaos engineering or resilience testing.Previous application, data platform, or production support experience.Banking or BFSI domain experience, particularly customer marketing data.Work RequirementsWillingness to work rotational 24×7 shifts and participate in on-call support.Ability to manage production incidents under strict SLAs.Strong analytical, troubleshooting, documentation, and communication skills. xzbcwsv
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