Must Have
6–10 years of hands-on Data Engineering experience.
Robust expertise in Snowflake .
Experience with at least one of the following:

○ dbt ○ Airbyte

○ Airflow (or similar orchestration tools)

○ Terraform
Strong understanding of Dimensional Modeling (Kimball Facts & Dimensions).
Experience in Production Support , Managed Services , or Service Desk Operations .
Knowledge of Incident Management , Service Requests , and SLA Management .
Experience with Jira/Jira Service Management (JSM) or equivalent ticketing tools.
Excellent problem-solving and prioritization skills.
Team leadership or mentoring experience.
Strong communication and stakeholder management skills.

Valuable to Have
Experience supporting enterprise Snowflake platforms.
Knowledge of Data Quality SLAs and Data Contracts.
Experience establishing or improving Service Desk processes.
Familiarity with Data Lineage/Catalog tools such as DataHub .

Roles & Responsibilities
Monitor, prioritize, and assign incoming service tickets based on business impact.




Resolve complex production issues across Snowflake, dbt, Airbyte, Airflow, and Terraform settings.
Lead and mentor a team of Data Engineers by providing technical guidance and performance coaching.
Ensure adherence to SLA response and resolution timelines.
Handle critical escalations and coordinate with internal stakeholders.
Prepare regular service performance reports and present operational insights to management.
Continuously improve service desk processes, workflows, and operational efficiency.
Collaborate with engineering and business teams to maintain high platform availability and service quality.
Communicate technical issues effectively to both technical and non-technical stakeholders.

Key Competencies
Snowflake Data Engineering
Production Support
Incident & Problem Management
Team Leadership
SLA Management
Stakeholder Communication
Root Cause Analysis
Service Operations
Agile & Jira

📌 Snowflake Service Lead Hyderabad
🏢 Alphastra Tekno
📍 Hyderabad