Job Description
Data Lead
Location: Charlotte, NC, USA
Experience: 12-15 Years
Employment Type: Permanent
Openings: 1
Job Description
We 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 Responsibilities
- Monitor 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 Skills
- GitHub Copilot and Prompt Engineering
- Grafana monitoring and dashboards
- Knowledge Management and technical documentation
- MS SQL Server and SQL-based troubleshooting
- Data pipeline monitoring and production support
- Incident, problem, and change management
- Strong communication and stakeholder management
Good to Have
- Experience 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 Requirements
- Willingness 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.
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees