For California applicants, salary range is $120,000 to $155,000.
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.
Job Purpose
Senior Data Architect is responsible for thought-leadership for innovation toward the next evolution of data technology products, agile approaches, cloud-based services and advanced analytics. The individual delivers business value through high-performant and well-timed data pipeline orchestration, data quality, broader data accessibility and governance policies & standards. He/she also engages the business teams, senior leaders and other teams to create, prioritize and effectively deliver the vision.
Key Accountabilities
- Develop and promote cloud data strategy, architecture, methodologies, and standards.
- Conduct innovation activities in data to sense, study, test, and implement new technologies.
- Work together with Unit and Dept leadership to develop and deliver long-term strategic goals for data architecture; create, prioritize and effectively deliver the vision.
- Delivers business value through high-performant and well-timed data pipeline orchestration, data governance, data quality, broader data accessibility and governance policies & standards.
- Build NA & global relationships and network to achieve trust and credibility, by discovering and meeting the needs of internal and external customers and vendors.
- Use persuasion and influence to achieve maximum results with Enterprise IT goals.
Qualifications, Experience, and Skills
- College degree in computer science, information systems, or computer engineering.
- 10+ years of progressive experience in data management leading teams as a data or information architect.
- 10+ years of experience leading architecture teams in Data Analysis, Information Management and Business Intelligence.
- 10+ years of advance knowledge of designing & working with multi-dimensional, mining transactional data and strategies that drive business.
- Hands-on experience with data architecting, data mining, large-scale data modeling and business requirements gathering/analysis.
- Knowledgeable, go-getter, self-driven individual with strong sense of ownership.
- Team player/collaborator who builds relation with customers and team members, earns their trust and creates influence to meet tactical or strategic objectives.
- Servant leader who clears roadblocks for the team members to meet their deliveries and help them grow individually.
- Knowledge of project management, budgeting, financial management, vendor management, service management and operational efficiency will be a huge plus.
- Strong oral, verbal communication/presentation skills.
- Strong understanding of relational data structures, theories, principles, and practices
- Experience in enterprise information life cycle management including enterprise repository tools, data modeling, mapping, profiling, quality and master data management practices.
- Experience with database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, etc.
- Knowledge of cloud-based technology including cloud connectivity options, data storage options (S3, Glacier), data lakes (S3 etc.), master data management, data cataloging, cloud warehouses (Redshift,Snowflake etc.), cloud ETL/ELT tools, cloud streaming options (Kinesis, Kafka etc.), cloud databases (RDS, DynamoDB etc.), data search options and cloud/on-prem BI products(Power BI, Tableau, BO, QuickSight, Synapse etc.)
- Working knowledge of Big Data platforms technologies and processes including cloud big data products like EMR etc.
- Working knowledge of advanced data analytics, AI and ML/DL
Workstyle
- Hybrid: 50% remote (2-3 day remote)
- Travel: 5%
Benefits and Total Rewards
What differentiates Honda and make us an employer of choice?
Total Rewards:
- Competitive Base Salary
- Annual Bonus
- Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
- Industry leading Benefit Plans (Medical, Dental, Vision, Rx)
- Paid time off, including vacation, paid holidays, sick time, personal days
- 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:
- 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.