Data Specialist (Technical Lead – AI, Cloud & Data Engineering)

Leírás

Career Area:

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.

Your Impact 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.

Job Summary

We are seeking a skilled Data Specialist (Technical Lead – AI, Cloud & Data Engineering) join our Financial Systems Tech Support -CAT IT Division

The Technical Lead – AI, Cloud & Engineering Innovation will play a critical role in driving next‑generation technology initiatives across Artificial Intelligence (AI), AWS Cloud platforms, application modernization, and enterprise automation. This role is a blend of hands‑on technical execution, innovation leadership, and team guidance, with a strong focus on building Proof of Concepts (PoCs), introducing new tools and platforms, and solving complex enterprise-scale problems.

The individual will lead technical exploration, guide development teams, collaborate with Cloud and Enterprise teams, and provide end‑to‑end technical solutions that improve efficiency, scalability, and reliability across systems.

The preference for this role is to be based out of Bangalore – Caterpillar PSN

What you will do

AI & Emerging Technology Innovation

• Lead the exploration, evaluation, and implementation of AI, GenAI, and advanced analytics solutions aligned with business and platform needs.
• Design and deliver new Proof of Concepts (PoCs) to validate emerging technologies, tools, and architectures before enterprise adoption.
• Evaluate new AI frameworks, platforms, and tools to identify opportunities for automation, intelligence-driven workflows, and operational optimization.
• Translate complex business and technical problems into AI‑enabled solution architectures.

AWS Cloud Architecture & Technical Upgrades

• Own and drive technical upgrades, modernization, and optimization initiatives on AWS, ensuring systems remain scalable, secure, and cost‑efficient.
• Architect and implement solutions using AWS services such as compute, storage, data, integration, and serverless technologies.
• Ensure AWS solutions adhere to enterprise security standards, governance frameworks, and cloud best practices.
• Partner with Cloud teams to review architectures, address risks, and improve overall platform resiliency.

Automation & Process Engineering

• Identify recurring operational issues and manual processes and design automation solutions to eliminate redundancy.
• Build end‑to‑end automated workflows and process flows for data movement, application orchestration, monitoring, and remediation.
• Promote a culture of automation-first engineering, reducing technical debt and operational overhead.

Application & Engineering Development

• Design and build modern web applications, APIs, and backend services to support AI, data, and automation use cases.
• Develop and maintain solutions using Python for application logic, automation, integrations, and cloud services.
• Apply clean code principles, scalable architecture patterns, and performance optimization techniques.
• Support CI/CD pipelines and DevOps practices to enable efficient and reliable deployments.

Technical Leadership & Team Enablement

• Act as the technical go‑to person for teams, providing guidance on design decisions, implementation approaches, and troubleshooting.
• Lead technical discussions, architecture reviews, and solution walkthroughs.
• Mentor and coach team members, improving overall technical competency, solution quality, and delivery maturity.
• Review code, designs, and solutions to ensure alignment with standards and long-term maintainability.

Enterprise Collaboration & Support

• Collaborate closely with Cloud, Enterprise Architecture, Security, and Platform teams to align solutions with organizational objectives.
• Support production and pre‑production issues by performing root cause analysis and defining permanent technical fixes.
• Actively participate in cross‑team discussions to resolve gaps, dependencies, and architectural challenges.
• Provide clear technical documentation and communication for stakeholders and leadership teams.

What you will have

1. AI & Emerging Technology Innovation

• Lead the exploration, evaluation, and implementation of AI, GenAI, and advanced analytics solutions aligned with business and platform needs.
• Design and deliver new Proof of Concepts (PoCs) to validate emerging technologies, tools, and architectures before enterprise adoption.
• Evaluate new AI frameworks, platforms, and tools to identify opportunities for automation, intelligence-driven workflows, and operational optimization.
• Translate complex business and technical problems into AI‑enabled solution architectures.

2. AWS Cloud Architecture & Technical Upgrades

• Own and drive technical upgrades, modernization, and optimization initiatives on AWS, ensuring systems remain scalable, secure, and cost‑efficient.
• Architect and implement solutions using AWS services such as compute, storage, data, integration, and serverless technologies.
• Ensure AWS solutions adhere to enterprise security standards, governance frameworks, and cloud best practices.
• Partner with Cloud teams to review architectures, address risks, and improve overall platform resiliency.

3. Automation & Process Engineering

• Identify recurring operational issues and manual processes and design automation solutions to eliminate redundancy.
• Build end‑to‑end automated workflows and process flows for data movement, application orchestration, monitoring, and remediation.
• Promote a culture of automation-first engineering, reducing technical debt and operational overhead.

4. Application & Engineering Development

• Design and build modern web applications, APIs, and backend services to support AI, data, and automation use cases.
• Develop and maintain solutions using Python for application logic, automation, integrations, and cloud services.
• Apply clean code principles, scalable architecture patterns, and performance optimization techniques.
• Support CI/CD pipelines and DevOps practices to enable efficient and reliable deployments.

5. Technical Leadership & Team Enablement

• Act as the technical go‑to person for teams, providing guidance on design decisions, implementation approaches, and troubleshooting.
• Lead technical discussions, architecture reviews, and solution walkthroughs.
• Mentor and coach team members, improving overall technical competency, solution quality, and delivery maturity.
• Review code, designs, and solutions to ensure alignment with standards and long-term maintainability.

6. Enterprise Collaboration & Support

• Collaborate closely with Cloud, Enterprise Architecture, Security, and Platform teams to align solutions with organizational objectives.
• Support production and pre‑production issues by performing root cause analysis and defining permanent technical fixes.
• Actively participate in cross‑team discussions to resolve gaps, dependencies, and architectural challenges.
• Provide clear technical documentation and communication for stakeholders and leadership teams.

What you will have

Core Technical Skills

• Strong hands‑on experience with AWS cloud services and solution design.
• Practical experience in AI / ML / GenAI exploration and implementation.
• Advanced proficiency in Python for application development, automation, and data workflows.
• Experience developing web applications, REST APIs, and cloud‑native services.
• Proven expertise in automation of process flows, incident remediation, and repetitive operational tasks.

• Leadership & Soft Skills
• Demonstrated experience in technical leadership or lead engineer roles.
• Strong problem‑solving and architectural thinking abilities.
• Excellent communication skills to explain complex technical concepts to diverse audiences.
• Ability to influence technical direction without formal authority.
• This position requires candidate to work a 5-day -a -week schedule in the office.
• Shift Timing: 01:00-10:00PM IST

Preferred / Good‑to‑Have Skills

• Experience with GenAI platforms (e.g., model orchestration, prompt engineering, LLM integration).
• Familiarity with enterprise security, governance, and compliance controls.
• Experience working in large-scale, multi-team enterprise environments.
• Exposure to DevOps, CI/CD pipelines, and infrastructure‑as‑code frameworks.

Role Impact

• Drives innovation and modernization through AI and cloud adoption.
• Improves system reliability and efficiency via automation and engineering excellence.
• Elevates team capability through technical leadership and mentoring.
• Acts as a bridge between engineering teams and enterprise/cloud platforms.

Skills desired:

Value Realization: Knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.
Level Basic Understanding:
• Describes the importance of Value Realization milestones for long-term projects.
• Assists in measuring and attaining post-project implementation value.
• Identifies process changes or business value integration in change initiative plans and activities.
• Contributes to project team communication regarding the linkage of a change initiative to its associated business goals and case.

Communicating Complex Concepts: Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience.
Level Working Knowledge:
• Uses comparisons to familiar ideas when introducing a technical or novel feature.
• Separates fundamental concepts from supporting details in explaining a product or service.
• Explains products and services with little or no use of technical jargon or advanced vocabulary.
• Emphasizes the most important facts or features of a product or service.
• Perceives lack of audience comprehension; further simplifies explanation when needed.

Agile Development: Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications.
Level Working Knowledge:
• Explains a specific agile process and its associated checkpoints and deliverables.
• Works with a specific agile development methodology.
• Interprets metrics used to measure progress and effectiveness.
• Defines key selection and qualifying criteria for projects suitable for agile development.
• Applies major tools and techniques associated with the specific methodology.

Cloud Computing: Knowledge of cloud-based solutions and their applications; ability to design, implement, and manage cloud-based solutions to meet business needs and improve operational efficiency.
Level Working Knowledge:
• Designs and implements a cloud-based solution to meet a specific business need or requirement.
• Configures and deploys cloud-based infrastructure, such as virtual machines, storage, and networks.
• Migrates applications and data to a cloud-based environment, including data migration and integration.
• Implements cloud-based security measures, such as access controls, encryption, and firewalls.
• Troubleshoots and resolves common cloud-based issues, such as connectivity problems and performance degradation.
Database Design (Physical): Knowledge of database systems; ability to establish a data model for designing an organization's database that runs effectively and efficiently for better business outcome.
Level Working Knowledge:
• Researches relationships between different business data sets.
• Participates in the establishment of data structures based on their relationships.
• Adheres to an organization's database design policies.
• Utilizes database design tools and techniques.
• Tests the effectiveness of the database before its release for business use.

ETL Process: Knowledge of the extraction, transformation and loading (ETL) process; ability to develop a database through the ETL process.
Level Working Knowledge:
• Ensures the accuracy and effectiveness of data provided for the warehouse.
• Loads selected data into the warehouse on a regular basis.
• Derives necessary business or technical information from original data.
• Acquires a large amount of data from different sources/systems.
• Solves technical and administrative problems during the ETL process.

Information Management: Knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency.
Level Extensive Experience:
• Directs the implementation of information processing and operation standards to protect and manage information assets.
• Develops capabilities, features and uses for major IM platforms.
• Coaches others on issues and considerations for managing structured vs. unstructured data.
• Advises on improvement plans for existing and forecasted information architecture.
• Consults on all major information management platforms and practices.
• Consults on information architecture concepts, disciplines and practices.

Modeling: Data, Process, Events, Objects: Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.
Level Working Knowledge:
• Defines common types of data, processes or event models.
• Participates in model reviews and walkthroughs.
• Explains existing models to clients and describes their associated business processes.
• Focuses on modifying Data Structure, Access and Entity Relationship Diagrams.
• Prepares reports to recap current findings and issues in data, processes or event models.

What you will get:

• Work Life Harmony
• Earned and medical leave.
• Relocation assistance

Holistic Development

• Personal and professional development through Caterpillar ‘s employee resource groups across the globe
• Career developments opportunities with global prospects

Health and Wellness

• Medical coverage -Medical, life and personal accident coverage
• Employee mental wellness assistance program

Financial Wellness

• Employee investment plan
• Pay for performance -Annual incentive Bonus plan.

Additional Information:

Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers

Caterpillar is an Equal Opportunity Employer (EEO)

EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

Posting Dates:

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

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