Software Engineering LMTS/SMTS (Bigdata Spark and AI skills) - Informatica

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. DMC — Data Governance LMTS / SMTS | Informatica 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 — 5 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 reso ... (truncated, view full listing at source)