Data & Platform Engineer – Unified Intelligence Platform (UIP) | Salesforce

Location: Bangalore/Hyderabad
Employment Type: Full-Time
Experience Level: [Specify Level – Entry/Mid/Senior]

About the Role

The Unified Intelligence Platform (UIP) at Salesforce is on a mission to help teams deeply understand and optimize their services and operations through data-driven insights. UIP is a modern, trusted, cloud-based data platform that processes massive volumes of data efficiently and provides an intuitive user experience for discovery, analytics, and decision-making.

Built with cutting-edge technologies—including Spark, Trino, Airflow, DBT, Jupyter Notebooks, Sagemaker, Iceberg, and Open Metadata—UIP empowers machine learning and AI use cases at scale, enabling model development, inference, and real-time insights.

This is an opportunity to work with a fast-paced, highly collaborative team driving critical business services, complex compute requirements, and next-generation engineering solutions in a multi-cloud, petabyte-scale data environment.

Job Description :-

Company:	Salesforce
Job Role:	Software Engineer
Batches:	2021-2025
Degree:	Bachelor’s/Master’s degree
Experience:	Freshers/Experienced
Location:	Bangalore/Hyderabad, India
CTC/Salary:	INR 5-12 LPA (Expected)

Key Responsibilities

As a Data & Platform Engineer with the UIP team, you will:

• Architect, design, develop, and support mission-critical data platform services with complete ownership and accountability.
• Build self-service, metadata-driven data pipelines that streamline ingestion from diverse data sources into a secure, multi-cloud platform.
• Collaborate with product management and customer teams to capture requirements and deliver scalable, adaptable, and maintainable solutions.
• Design and implement robust data solutions for ingestion, processing, quality, discovery, and governance.
• Champion service ownership, implementing automation, monitoring, and alerting to reduce operational overhead.
• Develop frameworks and reusable tools to simplify recurring data engineering tasks, drive consistency, and support seamless migrations.
• Integrate advanced data quality services, enabling analysts and engineers to continuously monitor and enforce data standards.
• Build Salesforce-integrated applications to monitor and manage the complete data lifecycle from a unified interface.
• Establish CI/CD processes for deploying platform services across AWS, GCP, and other cloud environments.
• Maintain and optimize key components of the UIP tech stack, including Airflow, Spark, Trino, Iceberg, and Kubernetes.
• Collaborate with third-party vendors to troubleshoot and resolve platform-related software issues.
• Design multi-cloud optimized pipelines and orchestration frameworks for high performance and scalability.

Who We’re Looking For

We are seeking engineers who are:

• Passionate about big data challenges and distributed systems.
• Highly collaborative, working across teams to ensure customer success.
• Adaptable and versatile, taking on roles in platform engineering, data engineering, backend development, DevOps, and support.
• Skilled in software engineering fundamentals with the ability to work in multiple programming languages.
• Dedicated to engineering excellence, delivering scalable, high-performance, and secure solutions.
• Strong communicators who foster team transparency and alignment.
• Growth-oriented, eager to continuously learn, experiment, and improve.
• Proactive in support and service ownership, driving automation and monitoring best practices.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• Strong foundation in distributed systems, big data frameworks, and cloud technologies.
• Proficiency in at least one programming language (e.g., Python, Java, Scala, Go).
• Hands-on experience with data processing frameworks like Spark and orchestration tools like Airflow.
• Understanding of data lake architectures and technologies (e.g., Iceberg, Delta Lake).
• Familiarity with Kubernetes, CI/CD pipelines, and cloud services (AWS, GCP).
• Experience with metadata management, data governance, and data quality frameworks is a plus.

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Why Join Salesforce UIP?

• Work on cutting-edge big data and cloud-native technologies at scale.
• Contribute to mission-critical systems that power insights for millions of users.
• Collaborate with a world-class team of engineers and data scientists.
• Opportunity to innovate, own end-to-end projects, and drive measurable impact.
• Be part of a culture that values collaboration, transparency, and growth mindset.