
Sr. Manager
4 weeks ago
Overview
The Sr. Manager, Data Ops will act as lead to manage enterprise ETL and visualization environments. Work with key business stakeholders and key team members of IT; this resource will lead overall administration and support across our Power BI, Azure and Databricks environment. Need to take care of L1 and L2 operations.
The role also involves collaborating with cross-functional teams such as IT, business stakeholders, and global counterparts to ensure efficient data operations, governance, and adherence to best practices.
You are a high performing professional who pursues excellence and thrives on high performance and continuous improvement. You’re passionate about consistently delivering top quality results and wants to be amongst the best in your field. If this is you, we want you on our team.
ResponsibilitiesLead the administration, monitoring, and support of enterprise data platforms (Azure, Databricks, Power BI, SQL)
Oversee ETL workflows, data pipelines, and orchestration tools (e.g., Azure Data Factory, Synapse)
Manage and resolve L1 and L2 incidents related to data pipelines, BI dashboards, and cloud systems
Work closely with global and local teams to ensure SLAs are met
Maintain and improve observability, data quality checks, and automation processes
Ensure compliance with data governance, privacy, and security policies
Guide and mentor Data Engineers and Analysts in operational best practices
Participate in capacity planning and performance optimization
Contribute to continuous improvement of DataOps processes and DevOps integration
Strong hands-on experience with:
Azure Data Factory , Databricks , Azure Synapse
Power BI administration and user access control
SQL, Python, or scripting for automation
Familiarity with monitoring and incident tools (Azure Monitor, DataDog, etc.)
Good understanding of data governance , compliance , and access control
Exposure to ITIL , Agile , or DevOps practices is a plus
Excellent leadership, communication, and stakeholder management skills
Ability to work with global teams across different time zones
Strong problem-solving and decision-making abilities
Proven ability to manage both strategic planning and day-to-day operations
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