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Manager Software Engineering at Caterpillar Inc. — Bengaluru East

Experience14–15 yrs
SalaryNot disclosed
Work modeonsite
Levelexecutive
Posted15 Sept 2026

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About Caterpillar Inc.

Caterpillar Inc. is hiring in Bengaluru East in manufacturing industrial. This role looks for around 14+ years of experience.

Skills

Big Data
Data Warehousing
near real-time data pipelines
data platforms
data modeling
ETL/ELT
data governance
Azure DevOps
Jenkins
AWS CloudFormation
Azure
AWS
SQL
NoSQL
concurrency
data structures
algorithms
object-oriented design
Generative AI
MCP
ATA
computer science

The role

A data platform engineering manager at an industrial manufacturing company architects Big Data, Data Warehousing, and near real-time data pipelines for cloud-native analytics, and applies Generative AI and data governance to production platforms. The role also guides data engineering teams and scalable platform delivery.

Full job description

Career Area

Technology, Digital and Data

Job Description

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Seeking a highly skilled and visionary Software Engineering Manager to lead highly skilled engineers to build a robust next gen data platform. The ideal candidate will possess deep technical and functional expertise in Big Data, Data Warehousing, and end-to-end real-time data movement. You will architect and build Caterpillar’s state-of-the-art digital platform, while driving innovation in AI and advanced analytics.

Key Responsibilities

Team Leadership & ManagementLead, mentor, and manage a team of data engineers, fostering a culture of technical excellence, collaboration, and continuous learning.Set clear goals, provide regular feedback, and support career development for team members.Drive agile practices and ensure timely delivery of high-quality solutions.Technical Strategy & ArchitectureArchitect and oversee the development of scalable, robust data platforms and infrastructure.Design and implement end-to-end near real-time data movement solutions.Ensure best practices in data engineering, including data modeling, ETL/ELT, and data governance.Big Data & Data WarehousingLead the design and implementation of Big Data processing frameworks and Data Warehousing solutions.Build and maintain large-scale data lakes and data pipelines for structured and unstructured data.Optimize data storage, retrieval, and processing for performance and reliability.Cloud & Platform ExpertiseExperience deploying software using CI/CD tools (Azure DevOps preferred, Jenkins/AWS CloudFormation).Leverage cloud-native services for data ingestion, transformation, and analytics.Ensure security, scalability, and cost-effectiveness of cloud data architectures.AI & Advanced AnalyticsStay abreast of the latest developments in AI, including Generative AI, MCP, ATA, and related technologies.Collaborate with Data Scientists and ML Engineers to build production-ready AI solutions.Promote the integration of AI and analytics into data engineering workflows.Stakeholder EngagementWork closely with business stakeholders to understand requirements and deliver data solutions that drive business value.Communicate technical concepts to non-technical audiences and influence decision-making.

Must-Have Skills

Proven experience in Big Data processing and Data Warehousing.Expertise in building end-to-end near real-time data pipelines for OLTP & OLAP.Strong architecture exposure for building robust Data Platforms.Strong expertise in SQL and NoSQL databasesExperience in designing, developing, deploying, and maintaining software at scale, with a strong understanding of concurrencyStrong analytical skills and solid knowledge of computer science fundamentals (data structures, algorithms, object-oriented design).Passion for technology and a commitment to fostering a team-oriented environment.Deep exposure to Azure and AWS cloud platforms.Good understanding of AI concepts and latest developments (Gen AI, MCP, ATA, etc.).

Nice-to-Have Skills

Experience building production-ready AI solutions.Familiarity with modern data visualization and BI tools.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.14+ years of experience in data engineering, with at least 2+ years in a leadership or managerial role.Demonstrated success in managing large engineering teams and delivering complex data solutions.Excellent communication, leadership, and stakeholder management skills.

Caterpillar is an Equal Opportunity Employer (EEO).

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Posting Dates

September 15, 2026 - September 17, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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