Software Engineering LMTS/SMTS (Java + Bigdata + Spark)

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Job Category

Software Engineering

Job Details

About Salesforce

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LMTS / SMTS | IDMC @ Salesforce
Role Overview
 As a LMTS/SMTS on the Informatica IDMC (Intelligent Data Management Cloud) team — now part of Salesforce — you'll engineer the next generation of autonomous Data Governance and management solutions. This is a high-impact, hybrid engineering role with a full-stack backend mindset, combining Informatica's deep data expertise with Salesforce's ecosystem using Spark, modern Data Lake architectures, and Generative AI.
Responsibilities

• End-to-End Ownership — Drive the full SDLC: requirements, system design, automated testing, deployment, and performance tuning
• Technical Leadership — Provide architectural guidance and mentorship; lead code reviews, design sessions, and technical roadmaps for Data Governance features
• Scalable Development — Design and implement high-performance backend services using Java/Python and Apache Spark for massive dataset processing within IDMC
• Data Architecture — Build and optimize modern Data Lake solutions for seamless data movement and governance across cloud environments
• Data Modeling — Architect complex data models and optimize queries across distributed storage systems
• Quality Champion — Implement automated testing frameworks and CI/CD pipelines to ensure reliability of mission-critical governance workflows
• Cross-Cloud Collaboration — Partner with Product Management and Architects across Salesforce and Informatica for seamless IDMC service integration

Required Skills & Experience

• Experience — 6+ years of professional software development in an enterprise environment
• Programming — Strong proficiency in Java (Multithreading, JVM tuning) or Python; solid OOP design principles
• Big Data — Hands-on experience with Apache Spark for large-scale data processing and transformation
• Databases — Deep understanding of RDBMS concepts and distributed storage systems
• Engineering Excellence — Proven experience with Git, CI/CD pipelines, and Agile/Scrum methodologies
• Quality Engineering — Experience building automated test suites (JUnit, Selenium, or similar)
• Education — B.S., B.E., or B.Tech in Computer Science or a related technical field
• Communication — Strong cross-team communication and problem-solving skills

Preferred Skills

• Data Lakehouse — Experience with Lakehouse patterns and open table formats, especially Apache Iceberg
• Advanced Data Stores — Graph Databases (e.g., Neo4j) and Elasticsearch for high-speed discovery
• AI / GenAI — Experience with LLMs, prompt engineering, and RAG agents for data classification or metadata discovery
• Cloud Platforms — AWS, Azure, or GCP; containerization with Docker and Kubernetes
• Data Governance Domain — Prior work in Data Cataloging, Data Quality, or Metadata Management
• Salesforce Ecosystem — Knowledge of Salesforce Data Cloud or third-party SaaS integrations
• Advanced Degree — M.S. in Computer Science or a related field

Why Join Us?
 You'll be at the forefront of the Salesforce + Informatica integration — helping shape how the world's leading companies manage their most valuable asset: Data. Enjoy the agility of a focused product team backed by the scale and resources of Salesforce.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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