Enterprise Data Architecture Manager

Overview

On Site
USD 133,600.00 - 171,200.00 per year
Full Time

Skills

Business Intelligence
IaaS
Data Modeling
Cloud Computing
Analytics
Automated Testing
Scalability
Team Leadership
Accountability
Innovation
Collaboration
Informatics
Computer Science
Data Science
Leadership
Snow Flake Schema
RBAC
Performance Tuning
Vector Databases
Unstructured Data
Orchestration
Real-time
Streaming
Cosmos-Db
Optimization
Databricks
Communication
Management
Machine Learning (ML)
Artificial Intelligence
Thought Leadership
Data Architecture
Emerging Technologies
Mentorship
Master Data Management
Life Insurance
Health Care
Legal
Finance
Kaizen
Professional Development
Forklift
Sales
Continuous Improvement
Social Media
Material Handling

Job Details

Job Description

Join Our Leadership Team as an Enterprise Data Architecture Manager!

The Role:
We are seeking an accomplished and visionary Enterprise Data Architecture Manager to lead the design, development, and execution of our next-generation data platform. This role blends strategic architectural leadership with hands-on management. You will not only guide and mentor a team of talented data engineers but also stay directly engaged in coding, pipeline development, and solution delivery.

In this highly visible position, you will establish enterprise-wide coding and data architecture standards while aligning strategies with business goals. Your leadership will drive initiatives that power analytics, business intelligence, AI/ML models, conversational AI (chatbots), and enterprise-scale integrations. Working closely with senior leadership, and business stakeholders, you will help shape our data-driven culture and deliver solutions that generate sustainable business value.

What You'll Be Doing:
  • Architecture & Strategy
    • Define, evolve, and communicate the enterprise data architecture using modern cloud infrastructure.
    • Establish best practices for data modeling, pipeline design, performance optimization, and governance.
    • Architect solutions supporting AI/ML and LLM initiatives, including vector databases, embeddings, and real-time streaming.
    • Evaluate and implement technologies across Snowflake, Databricks, CosmosDB, and other cloud tools.
    • Partner with leaders across IT, analytics, and the business to ensure alignment with long-term strategic objectives.
  • Hands-On Delivery
    • Guide delivery teams in applying best practices for architecture, testing, automation, and monitoring.
    • Provide guardrails for reusable frameworks, orchestration, and infrastructure as code.
    • Contribute to proof of concepts and technology evaluations to accelerate adoption of emerging tools.
    • Ensure scalability, reliability, and performance of enterprise data pipelines and platforms.
  • Team Leadership
    • Mentor and coach data engineers, fostering technical excellence and career growth.
    • Navigate teams through complex architectural trade-offs, balancing short-term results with strategic vision.
    • Drive accountability through clear goals, constructive feedback, and open communication.
    • Build a culture of innovation, learning, and collaboration.


What We're Looking For:
  • Bachelor's degree in Informatics, Computer Science, Data Science, or related field (or equivalent experience).
  • 7+ years of progressive experience in enterprise data architecture, or related leadership roles.
  • Proven experience leading cross-functional teams and enterprise-scale programs.
  • Deep expertise in Snowflake (RBAC, data sharing, performance tuning).
  • Hands-on experience with AI/LLM architectures, including vector databases and unstructured data pipelines.
  • Proficiency in pipeline orchestration, real-time streaming, CosmosDB optimization, and Databricks.
  • Strong communication skills with the ability to influence across technical and business lines.
  • Demonstrated success managing multiple high-priority projects in a dynamic environment.
  • Ability to travel 10-15% between Columbus, Indiana and Greene, New York.


What Sets You Apart:
  • Experience delivering data platforms for AI/ML and conversational AI initiatives.
  • Recognized thought leadership in data architecture and emerging technologies.
  • Passion for building and mentoring high-performing teams.
  • Exposure to master data management concepts.


Where and When You'll Work:
  • This is a hybrid role based out of our Greene, New York or Columbus, Indiana office, with flexibility to work remotely up to 2 days per week.


Compensation & Benefits Package:

Salary: $133,600 - $171,200 per year. Compensation is based on the selected candidate's qualifications and experience.
Relocation: Relocation assistance may be available.

World Class Benefits:
  • Competitive Salary
  • Performance Bonus
  • Generous Paid Time Off and 13 Paid Holidays
  • Affordable Medical plans and no-cost Dental & Vision options
  • 100% 401(k) match up to 6%
  • Company-Paid Life Insurance, Short-Term Disability, and Long-Term Disability
  • Tuition Assistance Program
  • Employee Assistance Program (EAP) with access to mental health care, legal support, and financial guidance
  • Recognition and Kaizen (continuous improvement) Reward Programs
  • Meaningful opportunities for personal and professional development
  • Onsite Fitness Center & Occupational Health Clinic
  • Best in class work culture!


Big Name | Big Opportunities | Life is Better at Toyota

Toyota Material Handling North America (TMHNA), the industry leader in forklift sales, comprises two main brands: Toyota Material Handling and The Raymond Corporation. We believe investing in the best people, products, and processes will fuel our future success, and we will always be driven by our foundational principles of "respect for people" and "continuous improvement". With opportunities across North America, we are confident you will find the right position within TMHNA that can help you build a long, fulfilling career.

Learn more here:

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About Toyota Material Handling North America