Senior Manager, Data Engineering - India

Responsibilities

• As part of the EDA/ESE and ML team, and as part of the engineering team as a whole here at JumpCloud, you will be responsible for managing and guiding the engineering teams reporting to you.
• Build End-to-End Data Pipeline Architecture: Operationalize the ingestion (Fivetran) and transformation (dbt) layers to move raw CRM (Salesforce) and ERP (NetSuite) data into our central data environment (Snowflake/Databricks) for reliable consumption.
• Lead-to-Cash & Revenue Ops Alignment
• Partner with Finance, Sales, and Operations to build unified reporting models spanning pipeline health, ARR, billings, churn, and Customer Lifetime Value (LTV) across Salesforce and NetSuite.
• Data Governance & Modeling Standards: Enforce soft-engineering best practices for analytics (version control, automated testing via dbt, modular data modeling) to guarantee a single source of truth across executive dashboards.
• Executive Stakeholder Management: Serve as a trusted advisor to C-suite leaders, presenting complex financial and operational performance metrics backed by audited data models.
• You will interact effectively with the Staff and Principal engineers to build out features, help drive architecture, define best practices and enable product quality.
• You will have influence over our engineering practices in addition to product strategy and execution.
• As an active member of the engineering leadership team, you will partner with your peers and other teams to build, lead, and inspire a world class engineering organization.
• You will provide technical leadership and oversight of team activities in your areas of expertise.

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