Senior Digital Architect (Senior Data Solution Architect)

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.

About Caterpillar

Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives.

For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.

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 Senior Digital Architect ( Senior Data Solution Architect) to join FOM Data ML Ops and Support - CAT IT Division

The Data Solution Architect will provide strategic leadership for the overall architecture of the Manufacturing and Supply Digital Platform by designing platform capabilities that anticipate evolving business requirements and use cases.

The role will collaborate with peer architects and Enterprise Capability Owners to deliver diverse use cases thru applications, analytics, agents, and business intelligence. The position holds accountability for developing an enterprise-wide data architecture, creating reusable data components that can be assembled into datasets for business applications, analytics, business intelligence, agents, and digital twin solutions .Additionally, the role will leverage innovative NVIDIA technologies to advance digital twin capabilities, simulation, and optimization.

The preference for this role is to be based out of Chennai - Brigade World Trade Centre

What you will do

• •Design and deliver solution architecture artifacts that address business problems and support successful implementation.
• •Translate business requirements into scalable data and digital solutions by leveraging platform capabilities across data, analytics, intelligent agents, and applications.
• •Lead solution design activities with a strong focus on mapping business requirements to source data, ensuring clear traceability from business need through source alignment, transformation logic, and downstream consumption.
• •Define and maintain conceptual, logical, and physical data models that support operational and analytical use cases across enterprise platforms.
• •Define API and interface models that support reliable data exchange across source systems, platforms, and downstream consumers.
• •Establish and maintain data contracts with source systems, including agreement on data definitions, schema, ownership, quality expectations, delivery timeliness, and change management.
• •Own data quality expectations within assigned solutions by defining validation rules, controls, reconciliation checks, and monitoring requirements across the data lifecycle.
• •Partner with product, engineering, and business teams to evaluate technology options and support the adoption of tools and capabilities that improve solution delivery.
• •Collaborate across cross-functional teams to ensure solution designs are practical, scalable, supportable, and aligned with enterprise standards and business outcomes.
• •Provide architecture guidance to delivery teams and help resolve design issues related to data integration, source alignment, data modelling, and implementation readiness

What you will have

Solution Architecture

• •Extensive knowledge of technologies, architecture methods, and design practices used to define end-to-end solutions, integration patterns, processing flows, and platform interactions.
• •Ability to create solution designs that align with standards and support business and technical needs.

Data Modeling

• •Strong knowledge of data modelling principles, enterprise data design, and integration patterns.
• •Ability to develop logical and physical data models, define scalable data structures, and support both operational(OLTP) and analytical (OLAP)solution needs.

Source Data Mapping

Ability to translate business requirements into data requirements by identifying relevant source systems, mapping business entities and attributes to source data, and defining how data will be transformed, validated, and consumed.

Data Quality Ownership

Good understanding of data quality principles, controls, and governance expectations. Ability to define quality requirements, establish validation rules, support issue resolution, and ensure trusted, reliable, and fit-for-purpose data across solutions.

Data Contracts

Strong understanding of how to establish data contracts with source systems to ensure alignment on data definitions, schema, ownership, quality expectations, refresh patterns, and change control.

Analytical Thinking

In-depth problem-solving and analytical skills with the ability to break down complex business and technical issues, identify root causes, and develop practical solution options.

Effective Communication

Excellent communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences, and collaborate effectively across teams.

Requirements Analysis

• •Strong understanding of requirements gathering and analysis techniques.
• •Ability to work with product managers to clarify functional/non-functional needs and translate them into data solution.

Considerations for Top Candidates

Progressive career in data engineering, data architecture, or solution architecture(typically 12+ years)

• •Demonstrated experience designing and delivering solution architecture for enterprise-scale applications and data platforms in public cloud or hybrid environments. Strong experience in AWS ecosystem is preferred.
• •Strong experience in data modeling, including physical data modeling, schema design, entity relationships, and optimization for operational and analytical use cases.

Demonstrated ability to map business requirements to source data, including source system analysis, attribute mapping, data dictionary, transformation design, data lineage and end-to-end traceability.

Proven experience owning or driving data quality as part of solution delivery, including validation rules, reconciliation logic, defect identification, and fit-for-purpose data controls.

• Experience establishing and managing data contracts with source systems, including schema alignment, data definitions, quality expectations, latency expectations, and change coordination.
• •Strong understanding and practical experience in three or more of the following areas: Real-time event and message processing .

Data lakes and modern data platforms

Large-scale data transformation and analytics

IoT edge and cloud data processing

SQL and NoSQL data Modeling

Integration of operational and analytical systems

Understanding of vector database and knowledge graph modelling will be an advantage.

Good understanding of Agile delivery practices in cloud environments, including environment management, peer review, test automation, CI/CD, and resource optimization.

Hands-on experience designing o