# Hands On Data Lead & Systems Integrator

**Company**: Salesforce
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/India---Hyderabad/Data-Engineering-SMTS-LMTS--Revenue-Analytics_JR364686?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4d944dd7-950

## Description

Salesforce is seeking a Lead Member of Technical Staff (LMTS) to serve as a primary technical execution lead across its core data platform and its application integration interfaces.

This is a hands-on technical leadership role. The successful candidate 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.

**Core Responsibilities:**

- Lead the design, execution, and optimization of end-to-end data pipelines for batch and event-driven workloads.

- Define patterns for data ingestion, transformation, orchestration, and storage using Python, SQL, dbt, Snowflake, and Airflow.

- 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.

- Implement enterprise-controlled agentic capabilities and AI-enabled workflows.

- Establish testing strategies, CI/CD pipelines, performance tuning, and operational observability across both data pipelines and app integration services.

- Conduct code and design reviews, and mentor Senior and Associate Engineers.

**Technical Profile:**

- Deep expertise in Python and advanced SQL, with a strong background in operating production data platforms.

- Extensive experience with data stack technologies: dbt, Apache Airflow, Apache Spark, and Snowflake.

- Practical experience with Node.js and TypeScript/JavaScript for building lightweight backend services, microservices, or integration layers.

- Hands-on knowledge of designing and consuming REST APIs, GraphQL, webhooks, and event queues.

- Practical experience building or integrating AI-enabled workflows using frameworks like LangGraph or LangChain.

**Qualifications:**

- Typically 10 to 14+ years of hands-on experience in Data Engineering, Software Engineering, or Platform Engineering.

- Proven track record of leading complex data projects from requirements through architecture, deployment, and ongoing operation.

- Ability to serve as the bridge between core data platform engineering and web application developer teams.

- Ability to translate technical implementation choices into business outcomes, work closely with product managers, and communicate effectively across engineering teams.

## Skills

### Required
- Python
- SQL
- dbt
- Snowflake
- Airflow
- Node.js
- TypeScript/JavaScript
- LangGraph
- LangChain
- REST APIs
- GraphQL

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Source: [Apply at salesforce.wd12.myworkdayjobs.com](https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/India---Hyderabad/Data-Engineering-SMTS-LMTS--Revenue-Analytics_JR364686?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)