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Senior Data Architect

2 months ago


Marysville, United States American Honda Motor Co Inc Full time

At Honda, The Power of Dreams drives us to create intelligent products that enhance mobility and increase the joy in people’s lives.

We continue to draw inspiration from the visionary ideas of our namesake, Soichiro Honda. He saw incredible power in the freedom of mobility and used his imagination to change the world. It is this mindset that guides us to help move people forward and protect the future we all share.

We strive to earn the trust and support of the many diverse communities we happily serve, and we’ll always remember who’s in the driver’s seat on the way to a better world for all.



What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it’s a joyful one.  We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.  We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”


We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.


If your goals and values align with Honda’s, we want you to join our team to Bring the Future

Location:

Marysville, Ohio - Hybrid Remote role (~75% remote) 

Job Purpose

We're on the lookout for a visionary Senior Data Architect to join our Data Architecture team. In this position, you will lead play a vital role in defining/fine-tuning data architecture standards and best practices, including the vision, strategy, and principles for managing and interacting with governed data.

In this pivotal role, you'll be instrumental in crafting high-performance data pipelines, ensuring data integrity, and expanding data access and governance.  You’ll work cross-functionally with diverse teams, including data analysts, business analysts, and stakeholders, to understand data requirements and create scalable and efficient data models and reporting systems. You’ll define and achieve our strategic objectives with business teams and senior leader to ensure we’re meeting strategic goals and establishing global benchmarks for data architecture.   

Your expertise will help Honda drive the development of high-performance data systems, uphold data integrity, and broaden the horizons of data utilization and governance.  
 

Key Accountabilities
  • Collaborate with Team and Unit leadership to deliver long-term strategic goals for data architecture - create, prioritize, and effectively deliver the vision. 
  • Design, develop and promote data strategy, architecture, methodologies, and standards for modern platforms.
  • Provide vision and  thought leadership on High-Level Architecture and Design, to establish data architecture frameworks.
  • Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
  • Support the development of technology strategy and roadmaps across data and analytics platforms.
  • Collaborate with business stakeholders to understand business needs and develop architecture solutions.
  • Create, maintain and define Conceptual, Logical, and Physical Data Models for various projects using relational theory and dimensional modeling, align them to Enterprise Architecture
  • Drive business impact with efficient data pipeline management, ensuring data integrity and accessibility.
  • Deliver exceptional business value by enhancing data pipeline performance, ensuring timely orchestration, and upholding data governance.
  • Evaluate and recommend emerging technologies for data management, storage and analytics.
  • Build strong North American and global partnerships, fostering trust and meeting stakeholder needs.
Qualifications, Experience, and Skills

Education:

  • Bachelor’s degree in computer science, information systems, or computer engineering or equivalent work experience. 


Experience:

  • 7+ years of experience in data management working as a data architect with a good foundation of experience in data modeling/data structures (star schemas, OLAP cubes, etc.)
  • 7+ years of experience in Data Analysis, Information Management and Business Intelligence
  • 5+ years of advance knowledge of designing & working with multi-dimensional data modeling, i.e., entity relationships, star/snowflake schemas, hierarchies, attributes, measures, granularity/aggregation

Skills:

  • Proven experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks)
  • Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, RDS, DynamoDB, etc.
  • Knowledge of master data management, data cataloging and organizing data using multi-dimensional analysis.
  • Experience with tools like Power BI, Tableau, BO, QuickSight, Synapse, Qlik.
  • Ability to learn and adopt new technologies, especially in advance data analytics and AI/ML
  • Familiar with applicable data privacy practices and laws
  • Dynamic, self-driven professional with a strong sense of ownership
  • Leader who demonstrates, inspires, and fosters team success and individual growth and a team player who has a proven ability to build trust and influence. 
  • Exceptional communication and presentation skills
Working Conditions
  • Estimated 75% remote and 25% office environment.  Remote work is based on business projects and team members on-site needs.  
  • Overtime as required.  
  • Limited domestic travel

What differentiates Honda and make us an employer of choice?

Total Rewards:
•    Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
•    Paid Overtime
•    Regional Bonus (when applicable)
•    Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) 
•    Paid time off, including vacation, holidays, shutdown
•    Company Paid Short-Term and Long-Term Disability 
•    401K Plan with company match + additional contribution
•    Relocation assistance (if eligible)

Career Growth:
•    Advancement Opportunities
•    Career Mobility  
•    Education Reimbursement for Continued Learning
•    Training and Development programs 

Additional Offerings:
•    Tuition Assistance & Student Loan Repayment
•    Lifestyle Account
•    Childcare Reimbursement Account
•    Elder Care Support
•    Wellbeing Program
•    Community Service and Engagement Programs
•    Product Programs
•    Free Drinks Onsite

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.



What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it’s a joyful one.  We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.  We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”


We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.


If your goals and values align with Honda’s, we want you to join our team to Bring the Future

Location:

Marysville, Ohio - Hybrid Remote role (~75% remote) 

Job Purpose

We're on the lookout for a visionary Senior Data Architect to join our Data Architecture team. In this position, you will lead play a vital role in defining/fine-tuning data architecture standards and best practices, including the vision, strategy, and principles for managing and interacting with governed data.

In this pivotal role, you'll be instrumental in crafting high-performance data pipelines, ensuring data integrity, and expanding data access and governance.  You’ll work cross-functionally with diverse teams, including data analysts, business analysts, and stakeholders, to understand data requirements and create scalable and efficient data models and reporting systems. You’ll define and achieve our strategic objectives with business teams and senior leader to ensure we’re meeting strategic goals and establishing global benchmarks for data architecture.   

Your expertise will help Honda drive the development of high-performance data systems, uphold data integrity, and broaden the horizons of data utilization and governance.  
 

Key Accountabilities
  • Collaborate with Team and Unit leadership to deliver long-term strategic goals for data architecture - create, prioritize, and effectively deliver the vision. 
  • Design, develop and promote data strategy, architecture, methodologies, and standards for modern platforms.
  • Provide vision and  thought leadership on High-Level Architecture and Design, to establish data architecture frameworks.
  • Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
  • Support the development of technology strategy and roadmaps across data and analytics platforms.
  • Collaborate with business stakeholders to understand business needs and develop architecture solutions.
  • Create, maintain and define Conceptual, Logical, and Physical Data Models for various projects using relational theory and dimensional modeling, align them to Enterprise Architecture
  • Drive business impact with efficient data pipeline management, ensuring data integrity and accessibility.
  • Deliver exceptional business value by enhancing data pipeline performance, ensuring timely orchestration, and upholding data governance.
  • Evaluate and recommend emerging technologies for data management, storage and analytics.
  • Build strong North American and global partnerships, fostering trust and meeting stakeholder needs.
Qualifications, Experience, and Skills

Education:

  • Bachelor’s degree in computer science, information systems, or computer engineering or equivalent work experience. 


Experience:

  • 7+ years of experience in data management working as a data architect with a good foundation of experience in data modeling/data structures (star schemas, OLAP cubes, etc.)
  • 7+ years of experience in Data Analysis, Information Management and Business Intelligence
  • 5+ years of advance knowledge of designing & working with multi-dimensional data modeling, i.e., entity relationships, star/snowflake schemas, hierarchies, attributes, measures, granularity/aggregation

Skills:

  • Proven experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks)
  • Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, RDS, DynamoDB, etc.
  • Knowledge of master data management, data cataloging and organizing data using multi-dimensional analysis.
  • Experience with tools like Power BI, Tableau, BO, QuickSight, Synapse, Qlik.
  • Ability to learn and adopt new technologies, especially in advance data analytics and AI/ML
  • Familiar with applicable data privacy practices and laws
  • Dynamic, self-driven professional with a strong sense of ownership
  • Leader who demonstrates, inspires, and fosters team success and individual growth and a team player who has a proven ability to build trust and influence. 
  • Exceptional communication and presentation skills
Working Conditions
  • Estimated 75% remote and 25% office environment.  Remote work is based on business projects and team members on-site needs.  
  • Overtime as required.  
  • Limited domestic travel