Solution Architect - Senior

The Solution Architect - Senior is responsible for assessing, designing, and implementing scalable solution architectures aligned with Cummins enterprise architecture strategies, standards, and principles. This role defines application and solution designs for complex systems in partnership with product and project teams, ensuring technical solutions meet business, security, governance, and compliance requirements. The incumbent provides technical leadership in designing end-to-end analytics and AI architectures, including data pipelines, machine learning systems, and enterprise integrations. The role also drives innovation through proof-of-concepts (POCs), evaluates emerging technologies, and ensures architecture decisions create measurable business value.

Key Responsibilities

Design and own end-to-end scalable solution architectures for analytics, AI, cloud, and enterprise systems aligned with enterprise standards.

Define system component architecture, functional allocation, and interfaces between applications, platforms, and infrastructure components.

Develop multiple solution design options, perform cost-benefit analysis, and recommend optimized architectures based on business and technical requirements.

Create and maintain reference architectures, reusable design patterns, and architecture building blocks for global adoption.

Apply enterprise architecture standards, frameworks, styles, technology stacks, and patterns in solution development.

Drive architectural improvements and influence enterprise technical strategy through collaboration with Principal Solution Architects and engineering teams.

Architect scalable data pipelines, ML systems, and system integrations to support advanced analytics and AI use cases.

Analyze complex business processes, governance requirements, and technical constraints to create practical, scalable solutions.

Lead pilot programs and proof-of-concept initiatives to validate technology capabilities and support innovation.

Evaluate infrastructure capacity and recommend improvements to support current and future business needs.

Partner with cross-functional stakeholders to align technical solutions with strategic business goals.

Promote adoption of standard technologies and best practices through strong collaboration with customers, peers, and engineering teams.

Identify, assess, and manage architecture-related risks and issues while driving mitigation strategies.

Stay current on emerging technologies, software trends, architecture methodologies, and industry best practices.

Skills

Enterprise Architecture & Solution Design

Cloud Architecture (AWS, Azure, or GCP)

Data Architecture, Data Warehousing & ETL

Machine Learning Systems & MLOps

System Integration & API Architecture

Analytics and AI Platform Design

Architecture Frameworks & Reference Models

DevSecOps and Agile Delivery Practices

Risk and Issue Management

Stakeholder Management & Business Relationship Management

Cost Optimization and Performance Engineering

Technical Leadership and Strategic Thinking

Technical Skills

Strong proficiency in Python and SQL

Experience with data modeling , ETL frameworks , and data pipeline design

Experience with machine learning lifecycle management (MLOps)

Knowledge of build automation, version control, and CI/CD pipelines

Understanding of security, governance, and compliance requirements in architecture design

Experience

Intermediate to advanced experience in solution architecture, enterprise systems, or a related technical discipline required.

Demonstrated experience designing architecture for cloud-based platforms and enterprise applications .

Proven ability to architect complex technical solutions and translate business requirements into scalable technical designs.

Experience leading cross-functional technical teams and influencing architecture decisions across stakeholders.

Experience in:

Analyzing complex business systems and industry requirements

Designing scalable enterprise data and analytics solutions

Architecting integrations across enterprise applications and data platforms

Building AI/ML-enabled solution architectures

Preferred experience with:

IoT technologies and connected systems

Agile software development methodologies

DevSecOps practices and automation frameworks

Nice to Have

Hands-on experience with Databricks , Snowflake , and Neo4j

Experience designing Azure-native solutions

Familiarity with ML frameworks such as TensorFlow and PyTorch

Knowledge of advanced analytics techniques including predictive modeling and AI-driven decision systems

Competencies

Balances stakeholders

Collaborates effectively

Communicates effectively

Decision quality

Persuades and influences

Strategic mindset

Change management

Values differences

Architecture system design

Solution design

Solution functional fit analysis

System solution architecture

Project issue and risk management

Qualifications

College, university, or equivalent degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical discipline required.

Equivalent relevant professional experience may be considered in lieu of formal education.

Job Systems/Information Technology

Organization Cummins Inc.

Role Category On-site with Flexibility

Job Type Exempt - Experienced

ReqID 2432030

Relocation Package No

100% On-Site No