Senior Manager, Data Engineering - India
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Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage the EDA, ESE, and Machine Learning engineering teams in India, focusing on delivering scalable features and driving product quality.
Own end-to-end data pipeline architecture including data ingestion (Fivetran), transformation (dbt), and centralization (Snowflake/Databricks) for CRM and ERP data.
Partner with finance, sales, and operations to develop unified reporting models and serve as a trusted advisor to executive stakeholders with audited data performance metrics.
Minimum Requirements
8+ years experience in applied Machine Learning with multiple years in people management and production MLOps environment.
Experience managing teams of 8 or more engineers, including hiring, onboarding, and performance management.
Proficiency with Salesforce, NetSuite, dbt, Fivetran, Snowflake, Databricks, and strong SQL skills.
Hands-on experience with Python, scikit-learn/PyTorch/TensorFlow, and large-scale data platforms like Spark or equivalent.
Ideal Candidate Profile
Experienced technical leader with a background in SaaS product ownership, reliability engineering, and software engineering best practices.
Demonstrated ability to lead geographically distributed teams in a remote-first environment while integrating AI tools and coding agents to optimize workflows.
Strong strategic partner able to collaborate across engineering, product, platform, and security teams to translate data and ML insights into operational outcomes.