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Senior Manager, Data Engineering - India

7 hours, 20 minutes ago
India
Full-time
Lead
Data Engineer
Data Science and Analytics
Agile Apache Spark C++ Databricks dbt Feature Engineering Git Go Java Machine Learning MLOps NetSuite Python PyTorch Salesforce Scikit-learn Snowflake TensorFlow
Apply Now
JumpCloud

JumpCloud

JumpCloud provides a unified platform for managing identity, access, and devices across various operating systems, enabling secure and frictionless access to resources through features like single sign-on, multi-factor authentication, and a Zero Trust ...

Internet Software & Services
501-1000
Founded 2013
$417M raised
View All Jobs 37

Description

  • Manage, guide, mentor, and grow a geographically distributed engineering team.
  • Design and operationalize end-to-end data pipelines using Fivetran, dbt, Salesforce, NetSuite, Snowflake, and Databricks.
  • Partner with Finance, Sales, and Operations to build unified lead-to-cash and revenue-operations reporting models.
  • Establish data governance, testing, version control, and modular modeling standards to maintain a single source of truth.
  • Lead ML engineers and data scientists in delivering, monitoring, and maintaining production models.
  • Set standards for feature engineering, model training, evaluation, serving, feedback loops, SLAs, rollback, and on-call model health.
  • Drive technical architecture, engineering best practices, product quality, strategy, and execution with Staff and Principal engineers.
  • Present audited financial and operational metrics to executive stakeholders and partner with product, platform, and security teams.
  • Hire, onboard, coach, and performance-manage engineers across L3–L5 levels.
  • Use AI tools to improve team and individual productivity.

Requirements

  • 8+ years of applied machine learning experience, including several years of people management.
  • Experience managing teams of 8+ people, including performance management and team building.
  • Experience operating production MLOps environments with versioned training pipelines, evaluation gates, model registries, and automated deployment to serving.
  • Hands-on proficiency with Python and scikit-learn, PyTorch, or TensorFlow.
  • Experience with large-scale data platforms such as Spark, Snowflake, or equivalent.
  • Experience with Salesforce, NetSuite, dbt, Fivetran, Snowflake, and Databricks.
  • Strong SQL knowledge and software engineering principles.
  • Experience leading ML engineers and data scientists who deploy models to production.
  • Experience with Agile teams, SaaS ownership, reliability principles, and on-call responsibilities.
  • Fluent written and spoken English; must be located in and authorized to work in India.
  • Experience using AI coding and productivity tools such as Cursor, Claude, Copilot, Gemini, or Notebook LLM.
  • Preferred: experience with Golang, C++, Python, Java, or other commercial software development technologies, plus statistical ML methods including anomaly detection, classification, ranking, and imbalanced datasets.

Benefits

  • Remote-first work environment within India.
  • Opportunity to lead and develop a growing engineering organization.
  • Collaboration with global teams across 15+ countries.
  • Inclusive equal-opportunity workplace.

Interested in this position?

Apply directly on the company website

Apply Now

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