This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Data Engineering based in India.

This is a senior technical leadership opportunity focused on building high-performing data engineering and machine learning teams in a fast-moving SaaS environment.
You will lead teams responsible for scalable data pipelines, production ML systems, analytics infrastructure, and data-driven product capabilities.
The role combines people leadership with hands-on technical oversight, architecture, engineering standards, and product strategy.
You will work closely with Finance, Sales, Operations, Product, Platform, Security, and senior engineering stakeholders to turn complex data into measurable business outcomes.
A major focus will be building reliable, governed, production-ready systems that support executive reporting, machine learning, and evolving product and threat requirements.
You will also shape engineering culture through hiring, mentoring, continuous improvement,



and the adoption of modern AI-assisted development practices.
This role is ideal for a technically strong leader who enjoys going deep on architecture while developing diverse, high-performing teams across a remote-first setting.

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Accountabilities:

• Lead and guide engineering teams across data engineering, enterprise data applications, and machine learning, providing technical direction, delivery oversight, and people leadership.

• Build and operationalize end-to-end data pipeline architecture, including ingestion and transformation layers that move CRM and ERP data into centralized platforms such as Snowflake or Databricks.

• Partner with Finance, Sales, and Operations to develop unified reporting models covering pipeline health, recurring revenue, billing, churn, and customer lifetime value.

• Establish and enforce data governance and analytics engineering standards, including version control, automated test

📌 Senior Manager, Data Engineering (India)
🏢 Jobgether
📍 India