Software Engineering LMTS/SMTS (Bigdata Spark and AI skills) - Informatica
Posted 1 day ago
Job 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 EngineeringJob 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.
LMTS / SMTS | Informatica IDMC @ Salesforce
- 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
- 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
- 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
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 and be your best, and our AI agents accelerate your impact so you can do 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.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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