Data Solution Architect

ort manufacturing operations, supply chain, quality control, and product innovation. You will architect scalable, secure, and integrated data solutions that enable real-time insights and data-driven decision-making across the enterprise, driving operational efficiency and competitive advantage in the manufacturing sector.

Reporting to the GM - Data Engineering, the person in this role will support the Data team's objectives.

What you'll be doing

• Architect end-to-end enterprise data solutions including but not limited to data ingestion from IoT devices, production systems, and supply chain platforms

• Collaborate with manufacturing, operations, quality, supply chain and IT teams to translate complex business requirements into scalable data architectures

• Design data models and integration frameworks that support data analytics, process optimization, and compliance reporting

• Lead the implementation of data lakes, data warehouses, and streaming platforms to handle large volumes of structured and unstructured data

• Evaluate and recommend data technologies and tools to enhance data capture, processing, and analytics capabilities

• Partner with Data Stewards to establish and enforce data governance, security, and compliance standards aligned with industry regulations

• Drive data architecture best practices to support data initiatives, including AI/ML integration, edge computing and real-time monitoring

• Provide technical leadership and mentorship to data engineering teams and cross-functional stakeholders

• Develop proof-of-concept projects to validate new data technologies and use cases

• Document architecture designs, data flows, and integration patterns

• Stay abreast of emerging trends in data technologies and analytics to continuously improve enterprise data capabilities

What you bring

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or similar (or equivalent experience)

• Experience in data architecture or data solution design

• Expertise in cloud data platforms (AWS, Azure, Google Cloud) and big data technologies

• Strong skills in data modeling, ETL/ELT, data integration, and real-time data processing

• Experience with data ingestion, time-series databases, and streaming analytics

• Programming experience in Python, Scala, or Java

• Proficiency in SQL and familiarity with NoSQL and graph databases

• Excellent communication skills with the ability to engage technical and non-technical stakeholders

• Experience working in agile, cross-functional teams

• Experience with Databricks, Snowflake or similar Data Platforms

• Experience with containerization (Docker, Kubernetes) and DevOps practices

• Knowledge of compliance standards and data security best practices

Added bonus if you have

• Certifications in cloud platforms or data architecture (e.g., AWS Certified Solutions Architect, Azure Data Engineer)

• Experience with manufacturing systems and data sources typical in manufacturing environments

• Experience in data architecture or data solution design in manufacturing or industrial sectors with IIoT (Industrial Internet of Things)

What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

• A work environment built on teamwork, flexibility and respect

• Professional growth and development programs to help advance your career, as well as tuition reimbursement

• Team Member Vehicle Purchase Discount

• Toyota Team Member Lease Vehicle Program (if applicable)

• Comprehensive health care and wellness plans for your entire family

• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute

• Paid holidays and paid time off

• Referral services related to prenatal services, adoption, childcare, schools and more

• Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to [email protected] .