Lead Digital Architect

Caterpillar Inc.

Data Architect leading innovation in AI and advanced analytics at Caterpillar Inc. Building state-of-the-art digital platforms while collaborating with skilled engineers and stakeholders.

Posted 7/28/2026full-timeChennai • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data architecture strategies that align with business goals, while ensuring data governance and compliance. Proficient in building scalable data platforms and integrating advanced analytics and AI solutions.

Highest-signal resume keywords

Data Architecture StrategyData Integration SolutionsCloud-Based Data Platforms (AWS, Azure)Data Warehousing & OptimizationSecurity Measures for Data

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSoftware DevelopmentPython ProgrammingSQL DatabasesNo-SQL DatabasesData Pipeline DesignTest Driven DevelopmentBehavior Driven DevelopmentData GovernanceBig Data Architecture

Soft Skills

LeadershipTeam CollaborationCommunicationProblem SolvingAbility to Work Under Pressure

Tools & Technologies

SnowflakeKafkaKinesisAWS SQSAWS SNSAWS LambdaAPI GatewayDynamoDBAuroraAWS RDS PostgreSQL

Industry Keywords

Data Governance PoliciesEnterprise IntegrationsReal-Time Data MovementAI ConceptsAdvanced Analytics

Tech Stack

Tools & technologies

AWSAzureCloudDynamoDBKafkaPostgresPythonSQL

About the role

Key responsibilities & impact

Seeking a highly skilled and visionary Data Architect to work with highly skilled engineers to build a robust next gen data platform.
Architect and build Caterpillar’s state-of-the-art digital platform, while driving innovation in AI and advanced analytics.
Perform all programming and provide oversight for architecture assessment and design for development assignments without close supervision.
Lead Architecture design of end-to-end enterprise integrations that serves multiple business functions.
Design and implement end-to-end near real-time data movement solutions that provide core capabilities for the enterprise.
Define the overall data architecture strategy aligned with business goals.
Establish data governance policies, standards, and compliance.
Drive application development focused around delivering business valuable features.
Maintain high standards of software quality within the team by establishing good practices and security guardrails per Enterprise standards.
Develop and maintain current, planned, and future state architecture blueprints.
Lead in the identification and analysis of enterprise business drivers and requirements that drive the future state architecture.
Work with business analysts, data engineers, and stakeholders to translate business requirements into technical data solutions.
Communicate with end users and stakeholders to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness.
Perform integrated testing and customer acceptance testing of components that requires careful planning and execution to ensure timely, quality results.

Requirements

What you’ll need

Four-year bachelor’s degree from an accredited college or university in a Computer Science or Information Technology, or related field
12+ years or more of software development experience or at least 3 years of architecture experience with strong demonstrable experience.
5+ years or more of experience in designing conceptual, logical, and physical data models & data models support scalability, performance, and integration needs.
5+ years of Data Warehousing experience & optimizing database performance, indexing, and storage strategies
Expert in implementing security measures for data at rest and in transit and defining access control, encryption, and compliance frameworks
Strong in designing data integration solutions across systems ensuring smooth data flow between applications, APIs, and data warehouses
Proven experience in designing, developing, deploying and maintaining software at scale, with good understanding of concurrency.
Working experience in Python as an Object-Oriented programming language
In-Depth understanding of how Data pipelines work in Big Data & expert in designing architectures for cloud-based data platforms (AWS, Azure) for large-scale processing.
Expertise and experience in building Large Data Lakes and Data Warehouse (Snowflake Preferred).
Expertise in building end-to-end near real-time data pipelines for OLTP & OLAP.
Strong architecture exposure for building robust Data Platforms
Expertise in SQL and NO-SQL databases, Message brokers and other AWS services such as Kafka/Kinesis, AWS SQS, AWS SNS, Lambda, API Gateway, DynamoDB, Aurora, AWS RDS PostgreSQL.
Test driven development and behaviour driven development.
Ability to work under pressure and within time constraints.
Passion for technology and an eagerness to contribute to a team-oriented environment.
Demonstrated leadership on medium to large-scale projects impacting strategic priorities.
Strong understanding of AI concepts and latest developments (Gen AI, MCP, ATA, etc.).

Benefits

Comp & perks

Relocation is available for this position