Architect - Enterprise Data Lead 10203532 (Chicago, IL, US, 60631) @ Komatsu America Corp

Join Komatsu and Be Part of Something Big! Job Overview The Lead Data & AI Architect owns the enterprise Data and AI architecture strategy and roadmap. The role makes sure our operational, analytical, machine learning, and generative AI solutions are scalable, secure, reliable, and aligned with enterprise standards. Working closely with business leaders and with technology, data engineering, security, governance, and application teams, the Lead Architect builds cost-effective, high-performing data platforms that drive digital transformation, analytics, AI, and better business decisions.

Key Job Responsibilities

• Establish architectural principles, data processing frameworks, standards, and reference architectures for enterprise data platforms.
• Owns and evolves the Enterprise Data architecture and roadmap for multiple business domains, including data models, data flows, integration patterns, platform components, fin-ops efficiencies and technical-debt priorities.
• Translates business and application requirements into scalable reference and solution designs for Lakehouse, streaming solutions, APIs, analytics, ML, GenAI, and agentic AI, and guides engineering teams through delivery.
• Defines & drives adoption of domain standards for data models, data products and contracts encompassing technical standards for metadata, lineage, quality, security, privacy, responsible AI, and architecture documentation through design and implementation.
• Designs AI-ready data and platform patterns, including feature pipelines, model-serving paths, RAG and vector or graph retrieval, agent orchestration, tool and MCP integration, evaluation, observability, and human-in-the-loop controls.
• Defines and validates non-functional requirements for use experience, performance, availability, resilience, scalability, safety, and cost; tracks cloud consumption and drives FinOps improvements.
• Designs domain data products with clear ownership, data contracts, service-level commitments and measurable performance targets, supported by monitoring and observability.
• Leads proofs of concept, contributes reusable patterns to the Architecture Review Board and communities of practice, and mentors’ data engineers, AI engineers, and associate architects.

Qualifications/Requirements

• Eight or more years of experience in data engineering or software development, including at least three years in Data, AI, Digital, or Domain architecture roles.
• Demonstrated experience architecting, planning and delivering at least two production-scale data platforms migrations or modernizations
• Cloud platforms (Azure, AWS or GCP): selects and designs cloud services for domain solutions; has hands-on implementation experience.
• Data platforms (Palantir, Databricks, Snowflake or Fabric): designs and builds on them and has experience rationalizing on the right platform for each workload.
• Lakehouse and open table formats (Delta, Iceberg, Hudi): selects formats and designs Lakehouse medallion architecture layers for the domain.
• Data modeling (Conceptual, Logical, Physical, Dimensional, Data Vault): designs models for business domains, aligned to enterprise canonical models.
• Data pipelines and integration (ELT/ETL, Spark, dbt, Airflow or ADF): builds frameworks, reusable pipelines and evangelizes best practices.
• SQL and Python: strong hands-on coding for data solutions; Demonstrated experience with rapid prototyping and ability to scale to enterprise standards.
• Data governance (catalog, lineage, data quality): Architects technical governance practices for data lake assets
• Application and integration architecture (microservices, REST and GraphQL APIs, domain-driven design): designs data-heavy applications.
• DevOps, DataOps and infrastructure as code (CI/CD, Terraform, Git, containers): sets up SDLC environment patterns for domain solutions.
• Time-series, edge and OT data (historians, OPC UA, MQTT, ISA-95): designs ingestion patterns and event driven architectural solutions for equipment and site data.
• Operational and NoSQL data stores (document, key-value, graph, time-series databases): selects the right store for each workload.
• Data observability and reliability (freshness, volume and schema checks; SLAs and SLOs): builds monitoring into the data architecture and domain pipelines.
• Performance, scalability and cost optimization: tunes data solutions for speed and cost and builds the mechanisms to track domain cloud spend.
• ML and MLOps architecture (feature stores, model registry, model serving, MLflow): designs the data paths that feed and serve ML models.
• LLMOps and AI observability (prompt and version management, LLM evaluation, tracing, cost and latency monitoring): designs how GenAI solutions are tested and monitored.
• Data security principles application with identity and access management (IAM), role- and attribute-based access and encryption methodologies for democratized data solutions.
• GenAI and LLM architecture (RAG, vector and graph databases, embeddings, agents, MCP): builds AI solution patterns and applies guardrails.
• Proven ability to influence across business and technology teams, mentor technical talent, and explain complex trade-offs to non-technical stakeholders.

Additional Information Preferred Skills

• Bachelor’s degree in computer science, Information Systems, Engineering, Data Science, or a related field; a master’s degree is preferred. An equivalent combination of education and experience will be considered.
• Cloud architecture certification (Azure, AWS, or GCP) or data platform certification (Databricks, Snowflake, or Palantir).
• CDMP, TOGAF, C4 diagrams, ADR processes or comparable architecture and data-management credentials.
• Industrial, manufacturing, mining, construction equipment, IoT related IT/OT experience.
• Analytics and BI semantic layers (Power BI and/or other semantic models, metrics layers): designs data for reporting and analytics.

Hiring Range At Komatsu, your base pay is one part of your total compensation package. This role pays $155,000. The actual offer will consider a wide range of factors, including experience and location. Company Benefits Komatsu provides an extensive and robust employee benefits package that is designed to enhance the well-being of our employees and family members. We embrace a positive and empowering employee experience with a culture that prides itself on a diverse and inclusive environment. Health benefits: Medical, dental, vision, HSA, wellness programs, etc.

401k and/or employee savings programs Employee time off (vacation and designated holidays) Employee and family assistance programs Disability benefits Life insurance Employee learning and development programs Diversity & Inclusion Commitment At Komatsu, we come from diverse backgrounds, with unique perspectives, experiences and contributions. We believe that our people are part of our shared purpose. Connected by our core values of ambition, perseverance, collaboration and authenticity, we are committed to continually advancing in our support of diversity and inclusion.

United, we are on a journey towards a sustainable future that creates value together. Company Information Komatsu develops and supplies technologies, equipment and services for the construction, mining, forklift, industrial and forestry markets. Headquartered in Tokyo, Japan, Komatsu employs more than 64,000 people worldwide, operating in more than 140 countries. For more than a century, the company has been creating value for its customers through manufacturing and technology innovation, partnering with others to empower a sustainable future where people, business and the planet thrive together.

Since the company’s founding in 1921, Komatsu has been committed to supporting individuals and communities through job training, skills development and giving back. As a Komatsu employee, you will be encouraged to grow alongside our global company, contributing to a more sustainable future for all. If you are looking for a company that values your talent and potential, join Komatsu to be a part of something big and help advance modern society. Learn more at www.komatsu.com .

EEO

Statement Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.