About the Position

We are seeking a Data Support Lead to manage and troubleshoot enterprise data pipelines and platforms, ensuring data quality and reliability.

Responsibilities

Monitor and Support: Oversee Snowflake data warehouse, Azure Data Lake (ADLS), and Azure Data Factory (ADF) pipelines.
Debugging and Fixing: Debug and resolve code issues in Snowflake and ADF.
Job Monitoring: Perform job monitoring, failure analysis, reruns, and recovery for ETL/ELT pipelines handling structured and semi-structured data.
Issue Handling: Address data load failures, performance issues, schema changes, and data discrepancies.
Standard Procedures: Execute standard operating procedures (SOPs) for recurring operational tasks.
Incident Management: Act as first and second line of support for data-related incidents and service requests.
SLA Compliance: Perform initial triage, root cause analysis, and escalate to L3/platform teams when necessary. Ensure SLA, SLO, and KPI compliance.
Documentation: Maintain accurate ticket updates, incident reports, and runbooks.
Collaboration: Coordinate with application, core banking, infrastructure, and security teams.
Post-Incident Reviews: Participate in post-incident reviews and service improvement initiatives.

Technical Skills:
- Strong SQL skills (querying, troubleshooting, performance analysis).
- Hands-on experience supporting Snowflake environment (monitoring, queries, loads).
- Experience with Azure Data Factory (ADF) pipeline monitoring and troubleshooting.
- Understanding of ADLS / cloud data storage.
- Knowledge of ETL/ELT processes for structured and semi-structured data (JSON, CSV, Parquet).
Operations & Support Skills:
- Familiarity with ITIL processes (Incident, Problem, Change Management).
- Strong experience with job scheduling, monitoring tools, and alert handling.
- Ability to work with SLA-driven managed services environments.

[Company description if present]