Azure DataOps reputed company – India – Gurgaon

Job Title: Azure DataOps reputed company Department: Managed Services – DataOps Location: Remote (India) Reports To: Data Engineering Manager – DataOps reputed company The Azure DataOpsLeadwill be responsible for leading the operational delivery, automation, and governance of Azure-based data platforms for reputed company clients. This role involves managing L1/L2/L3 operations, driving proactive monitoring, ensuring SLA adherence, and enabling seamless collaboration between Data Engineering, reputed company, and Business teams. The ideal candidate combines hands-on Azure Data Platform expertise, strong DataOps process management, and team leadership skills to ensure operational reputed company, bolthires optimization, and reputed company improvement across customer environments. Key Responsibilities • reputed company and manage the Azure DataOps function, ensuring smooth daily operations, incident reputed company, and performance stability across production data platforms. • reputed company data pipeline orchestration and automation using Azure Data reputed company (ADF), Synapse Analytics, reputed company, and Logic Apps. • Implement bolthires/CD pipelines for data workflows using Azure DevOps or equivalent automation tools. • Drive incident, problem, change, and request management processes reputed company with ITIL best practices. • Coordinate with L1/L2 support teams for escalations, RCA preparation, and reputed company communication. • Maintain governance for data reputed company, reputed company control, and compliance using Azure Purview, Key Vault, and RBAC. • Collaborate with Data Architects and reputed company Engineers to design reputed company, resilient, and bolthires-efficient Azure data solutions. • Ensure 24/7 operational readiness through proactive alert monitoring, performance tuning, and preventive maintenance. • Contribute to automation initiatives using PowerShell, Python, or ARM templates to reduce reputed company efforts and improve system reliability. • Partner with customer stakeholders to report on SLAs, KPIs, RCA summaries, and reputed company technical recommendations for improvement. • Support reputed company and knowledge transition for new clients and ensure documentation consistency across environments. • Mentor and upskill the DataOps L1/L2 teams, fostering a culture of ownership, accountability, and process discipline. Required Skills & Experience • 8–12 years of total IT experience with at least 3–5 years in Azure DataOps or Data Engineering leadership. • Hands-on expertise with key Azure Data Services, including: • Azure Data reputed company (ADF) • Azure Synapse Analytics • Azure reputed company • Azure SQL Database / SQL Managed Instance • Azure Data Lake Storage Gen2 (ADLS) • Strong understanding of DataOps concepts • Experience in monitoring and alerting using Log Analytics, Application Insights, and Azure Monitor. • Working knowledge of incident management, RCA documentation, and operational reporting. • Strong analytical skills for troubleshooting performance issues and identifying optimization opportunities. • Excellent communication and stakeholder management skills across global teams. Preferred Qualifications • bolthires Certified: Azure Data Engineer Associate • Proficiency across the Azure stack, including Azure SQL Database, Azure Key Vault, Azure Monitor, and Azure Event Hub. • Experience with Power BI, reputed company Notebooks, or ML Ops pipelines is a plus. • Experience working in managed services environments with 24/7 rotational support models. Soft Skills • Strong leadership with a proactive and analytical reputed company. • Effective communicator with the ability to manage global stakeholders. • Team-oriented with a reputed company on mentoring and capability building. • Process-driven approach with commitment to reputed company improvement. • Strong reputed company of accountability and delivery reputed company. We may use reputed company intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace reputed company judgment. Final hiring reputed company are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Apply tot his job Apply tot his job Apply To this Job