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Data Support Lead
Support and troubleshoot enterprise data pipelines and platforms.
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Data Support Lead
Support and troubleshoot enterprise data pipelines and platforms.
Job Details
Employment Type:
Full Time
Timing:
NA
Work Mode:
Hybrid / Remote
Experience:
6+ years
Location:
Chennai
The Data Support Lead will provide operational support for the customer’s enterprise data platform, ensuring availability, reliability, and data quality across Snowflake, Azure Data Lake, and Azure Data Factory pipelines. The role focuses on incident management, job monitoring, data issue triage, and SLA adherence in a regulated environment.
Key Responsibilities:
Monitor and support Snowflake data warehouse, ADLS, and ADF pipelines
Should be able to debug and fix code in Snowflake & ADF
Perform job monitoring, failure analysis, reruns, and recovery for ETL/ELT pipelines handling structured and semi‑structured data.
Handle data load failures, performance issues, schema changes, and data discrepancies.
Execute standard operating procedures (SOPs) for recurring operational tasks.
Incident, Problem & SLA Management
Act as first and second line of support for data-related incidents and service requests.
Perform initial triage, root cause analysis, and escalation to L3/platform teams when required.
Ensure SLA, SLO, and KPI compliance (incident response, resolution times, data availability).
Maintain accurate ticket updates, incident reports, and runbooks.
Collaboration & Documentation
Coordinate with application, core banking, infrastructure, and security teams.
Maintain support documentation, knowledge articles, and handover notes.
Participate in post‑incident reviews and service improvement initiatives.
Technical Skills
Strong SQL skills (querying, troubleshooting, performance analysis).
Hands-on experience supporting Snowflakeenvironment (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.
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