Azure DataOps Lead

October 28

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Rackspace Technology

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SaaS • Cloud

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• Lead and manage the Azure DataOps function, ensuring smooth daily operations, incident resolution, and performance stability across production data platforms. • Oversee data pipeline orchestration and automation using Azure Data Factory (ADF), Synapse Analytics, Databricks, and Logic Apps. • Implement CI/CD pipelines for data workflows using Azure DevOps or equivalent automation tools. • Drive incident, problem, change, and request management processes aligned with ITIL best practices. • Coordinate with L1/L2 support teams for escalations, RCA preparation, and client communication. • Maintain governance for data quality, access control, and compliance using Azure Purview, Key Vault, and RBAC. • Collaborate with Data Architects and Cloud Engineers to design scalable, resilient, and cost-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 manual efforts and improve system reliability. • Partner with customer stakeholders to report on SLAs, KPIs, RCA summaries, and provide technical recommendations for improvement. • Support onboarding 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.

🎯 Requirements

• 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 Factory (ADF) • Azure Synapse Analytics • Azure Databricks • 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.