DataOps Technical Lead – Databricks/Azure

Experience : 6-10yrs

Work Location: Bangalore / Chennai / Gurgaon/ Pune/ Kolkata / Hyderabad

Job Description, Essential Duties and Responsibilities:

DataOps Lead is responsible for leading technical team and managing end-to-end project deliverables.
Should have strong experience and knowledge in DataOps support deliverables, KPIs and platform administration for Azure-Databricks DataOps project
Data Ops & Support roles
Pipeline Monitoring & Incident Response
Ticket/Incident Management
Data Anomaly Investigations & Root Cause Analysis
Hotfixes, Enhancements & Release Coordination
Creating Runbooks and Knowledge Base documents
Data Quality Tracking
Platform Administration
Databricks Platform Administration
Azure Infrastructure Management
Identity, Access & Governance
Data Pipeline Architecture & Platform Standards
Tools & Technologies
Databricks
Azure data services
SQL Server
Azure Synapse
Azure Data Factory (ADF)
Python and PySpark scriptingusing DLTs
Github
AI based tools (Claude, Co-Pilotetc)
Linear (task management)
ServiceNow[AG1]
Cosmos
ADO
Data pipelines: Monitor, identify issue, Debugging and Bug fixing of data pipelines. Should understand complex data pipelines and data engineering concepts. Mentoring and guiding junior team members.
Data Quality & Data Observability: Identify and fix the Data quality issues by performing RCA. Should have a good understanding of data observability tools like Unravel etc.
Data orchestration: Orchestration of jobs using Airflow.
DevOps: Should have a good understanding of the Dev Ops process.
Collaboration: Work closely with data engineering, data science, and IT teams to support data pipeline development, troubleshoot issues, and provide guidance on best practices.
Incident Management: Lead troubleshooting and resolution of issues related to Databricks clusters and jobs, ensuring minimal downtime and impact on business operations.
KPI: Responsible for managing MTTA, MTTR, IRR, response & resolution SLA and other key delivery matrix.
Upgrades & Patches: Manage upgrades, patches, and new releases of Databricks, ensuring minimal disruption to ongoing operations.
Documentation: Create and maintain detailed documentation of the Databricks environment, configurations, and procedures.
SOP: Able to build SOPs and set up DataOps best practices.
Continuous improvement and Innovation: Bringing continuous improvement and innovation for cost optimization, effort reduction, incidents reduction, platform stability and discuss with client, Development team for implementation.
Team Leading: Lead the technical team and manage day-to-day technical deliverables.
Escalation: Manage client's day-to-day technical escalation
Stakeholder management: Able to handle key stakeholders, including client leadership.

Skills, Education and Experience:

Having 8+ years of Azure-Databricks DataOps experience.
Team handling experience: Able to handle a team of 5-7 engineers
Open to work in UK & US Shift.
Working in agile methodology and Sprint framework
Must have education degree of B. Tech/B.E/MCA

Data Ops Technical Lead - Azure Databricks