DataOps Technical Lead

Job Title: DataOps Technical Lead Databricks/Azure Work Location: Bangalore / Chennai / Gurgaon/ Pune/ Kolkata / Hyderabad Division/Department: Solution Support Employment Type: Full-time Job Description, Essential Duties and Responsibilities: DataOps Lead is responsible for l eading 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