# Data Engineering SMTS/LMTS- Revenue Analytics at Salesforce

Salesforce is hiring a Data Engineering SMTS/LMTS- Revenue Analytics in Hyderabad, India. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/70f476c9-03da-40be-8a5d-bbe871414777?utm_medium=ai-agent).

AI Level 3, AI centrality 68 out of 100. India - Hyderabad.

## Details

- Company: [Salesforce](https://jobsbylevel.com/companies/salesforce)
- AI level: AI Level 3 (score 68 out of 100)
- Location: India - Hyderabad
- Posted: October 16, 2026
- Apply: https://jobsbylevel.com/go/70f476c9-03da-40be-8a5d-bbe871414777?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/data-engineering-smts-lmts-revenue-analytics-at-salesforce-5394ad

## Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good– you’ve come to the right place. Department Overview The Revenue Analytics team builds the data platforms, intelligent products, modern application capabilities, and AI-enabled automation that power enterprise decision-making. We combine deep engineering expertise with business context to deliver trusted, scalable systems that support both human and agent-driven workflows. Our team partners with business and technology leaders to solve complex challenges through modern data architecture, governed data products, integrated app services, and agentic systems. We emphasize production reliability, measurable business value, and responsible automation—not experimentation without operational accountability. Role Description: Hands On Data Lead & Systems Integrator We are seeking a Lead Member of Technical Staff (LMTS) to serve as a primary technical execution lead across our core data platform and its application integration interfaces. This is a hands-on technical leadership role. While operating within the overarching platform architecture established by Principal Engineers, you will own the delivery of high-impact data engineering projects, build resilient pipelines, and ensure data products seamlessly plug into downstream applications, web tools, and agentic workflows. You will bring deep expertise in core data engineering (Python, Snowflake, dbt, SQL) complemented by solid working knowledge of the app development ecosystem (Node.js, APIs, microservices) to bridge data platforms with full-stack systems. You will lead project-level execution, mentor senior engineers, and translate complex requirements into production-ready software. Core Responsibilities Data Engineering Project Leadership & Execution: Lead the design, execution, and optimization of end-to-end data pipelines for batch and event-driven workloads. Own project-level technical delivery, write high-performance production code, and guide team members to deliver scalable data products on schedule. Data Platform & Product Design: Define patterns for data ingestion, transformation, orchestration, and storage using Python, SQL, dbt, Snowflake, and Airflow. Establish standards for data contracts, semantic consistency, lineage, and reusable data assets to support both business analytics and AI applications. App Ecosystem & Integration Layering: Design and maintain lightweight API integration components, Node.js services, and middleware that expose data platform capabilities to full-stack applications, web dashboards, and external enterprise platforms (Salesforce, AWS). Agentic Architecture & Tool Integration: Implement enterprise-controlled agentic capabilities and AI-enabled

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Source: https://jobsbylevel.com/jobs/data-engineering-smts-lmts-revenue-analytics-at-salesforce-5394ad

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Level. https://jobsbylevel.com/jobs/data-engineering-smts-lmts-revenue-analytics-at-salesforce-5394ad.

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