Data Engineering - SMTS - Hyderabad

Join Salesforce's Cloud Economics and Capacity Management (CECM) team as a Lead Engineer focused on distributed systems. The role involves building intelligent, data-driven tools for strategic decision-making in infrastructure expenditure and capacity management. You'll be developing a platform providing near real-time monitoring of cost and capacity utilization, applying advanced machine learning to analyze petabytes of infrastructure data.

As part of this modern, lean, self-governing product engineering team, you'll wear multiple hats - from coding to requirements gathering and quality testing. The position offers direct interaction with customers to develop requirements, design, release, and maintain distributed systems with visibility throughout Salesforce.

The ideal candidate will be passionate about building scalable, resilient distributed systems that handle massive volumes of operational data. Strong expertise in data architecture, ETL, SQL, and Big Data technologies (Spark, Trino, Hive, Airflow) is essential. You'll work cross-functionally with engineers, architects, and product managers to deliver breakthrough features while ensuring application stability and scalability.

The role presents an exciting opportunity to impact Salesforce's infrastructure optimization, working with cutting-edge technologies and massive datasets. You'll be part of a team that transforms complex infrastructure data into actionable insights used by capacity planners and technical leaders daily. The position offers exposure to global teams across AMER and APAC, providing a truly international working experience.

This role is perfect for a self-starter who can think strategically, adapt quickly to changing priorities, and deliver innovative solutions under tight deadlines. Your work will directly influence Salesforce's infrastructure efficiency and cost optimization, making this an impactful position for someone passionate about data engineering at scale.