Senior Engineering Manager - Data Operations

Roles & Responsibilities :

• Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
• Define and implement standard operating procedures for data lifecycle management, ensuring availability, accuracy, completeness, and integrity of critical data assets.
• Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
• Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements.
• Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
• Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls.
• Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis.
• Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives.
• Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes.
• Mentor and develop a high-performing team of data operations analysts and leads.

Functional Skills : Must-Have Skills :

Good-to-Have Skills :

Education and Professional Certifications

Soft Skills :

Skills Required

Databricks, Sql, Python