Sr. Manager, Data Engineering

About the Opportunity:

The organization is a global leader in cybersecurity, focused on protecting people, processes, and technologies for modern organizations. The Senior Manager, Data Engineering will lead a global team to build, scale, and optimize data ingestion and processing pipelines, integrating various data sources to enable analytics and AI-driven insights and ensuring the scalability and reliability of the enterprise data platform.

Responsibilities:

• Lead and mentor a global team of data engineers, fostering collaboration across time zones.

• Architect and oversee large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake.

• Design and implement real-time and batch ingestion frameworks for various business systems and APIs.

• Partner with analytics and BI teams to define, curate, and deliver business metrics, KPIs, and standardized data models.

• Manage data integration and transformation from enterprise systems such as Salesforce, NetSuite, Workday, and other core business applications.

• Collaborate with data science and product teams to support AI assistance bot integration, AI/ML workflows, and product telemetry analytics.

• Align data engineering practices with DevOps principles, CI/CD automation, and robust data governance.

• Oversee multiple projects, managing priorities, resources, and timelines in a dynamic environment.

• Communicate with business and technical stakeholders to align data engineering initiatives with strategic goals.

Requirements:

• 8+ years of experience in data engineering, with at least 3+ years in a management or leadership role.

• Experience leading and managing global, distributed teams.

• Expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake.

• Deep experience in API-based data ingestion, real-time streaming, and large-scale pipeline orchestration.

• Hands-on experience with data integration from Salesforce, NetSuite, Workday, and similar platforms.

• Background in partnering with analytics and BI teams for business metrics and insights.

• Exposure to AI assistance bot integrations, data science workflows, and ML pipelines.

• Understanding of SaaS product telemetry, metadata management, and data governance.

• Experience applying DevOps and CI/CD to data engineering.

• Strong communication, leadership, and stakeholder management skills.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

• Experience in SaaS security and business metrics preferred.

Benefits & Perks:

• Remote-friendly and flexible work culture

• Equity awards and competitive compensation

• Comprehensive physical and mental wellness programs

• Generous vacation and holiday policies

• Paid parental and adoption leaves

• Professional development opportunities

• Employee networks, neighborhood groups, and volunteer opportunities

• Office culture with world-class amenities

• Certified as a Great Place to Work globally

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company's career page or ATS.