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Rackspace Technology logo
Rackspace Technology

Where enterprise AI runs and outcomes scale

Team Lead DataOps

Data EngineerData EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1998H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

90 days ago

Salary

0

Seniority

Senior

Bachelor Degree8 yrs expEnglishAzurePythonSQLHashiCorp Vault

Job Description

Team Lead DataOps

Rackspace Technology

• 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.

Job 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.
  • Microsoft Certified: Azure Data Engineer Associate (Preferred)
  • Proficiency across the Azure stack, including Azure SQL Database, Azure Key Vault, Azure Monitor, and Azure Event Hub (Preferred)
  • Experience with Power BI, DataBricks Notebooks, or ML Ops pipelines is a plus (Preferred)
  • Experience working in managed services environments with 24/7 rotational support models (Preferred)

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

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