Data Lead

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