招聘
In this role, you will be responsible for designing and implementing robust data architecture solutions that ensure data integrity, accessibility, and usability across the organization. Your expertise in Enterprise Data Warehousing (EDW), Master Data Management (MDM), and Informatica Product 360 will be essential in driving our data strategy and supporting business objectives.
KEY RESPONSIBILITIES:
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Lead the design and implementation of data architecture solutions for the S4 transformation project, ensuring alignment with business goals and technical requirements.
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Develop and manage Enterprise Data Warehouse (EDW) strategies, ensuring efficient data storage, retrieval, and reporting capabilities.
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Implement Master Data Management (MDM) practices to maintain data quality and consistency across various systems and platforms.
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Utilize Informatica Product 360 to enhance data integration, management, and governance processes.
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Collaborate with cross-functional teams to define data requirements and ensure seamless data flow between systems, including S4 and other enterprise applications.
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Oversee data migration projects, ensuring successful transfer of data to the S4 environment while maintaining data integrity and minimizing downtime.
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Evaluate and recommend database technologies that best fit the organization’s data architecture needs, including relational and non-relational databases.
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Establish data governance frameworks and best practices to ensure compliance with data privacy regulations and organizational policies.
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Provide technical leadership and mentorship to junior data architects and team members, fostering a culture of continuous improvement and innovation.
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Monitor and optimize data architecture performance, identifying areas for enhancement and implementing solutions to improve efficiency.
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Stay current with industry trends and emerging technologies in data architecture, data management, and analytics to inform strategic decisions.
Due to U.S. export control laws, candidate must be a U.S. Person (U.S. citizen, permanent resident, asylum/refugee status) or able to obtain an export authorization.
YOU MUST HAVE
- Strong experience in data architecture, specifically with EDW platforms and MDM.
- Expertise in Informatica Product 360 platform and its application in data management.
- Extensive knowledge of database technologies, including SQL and NoSQL databases.
- Proven experience with S4 data migration projects, demonstrating a strong understanding of data mapping and transformation processes.
- Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
- Strong communication skills to effectively collaborate with stakeholders and convey technical concepts to non-technical audiences.
WE VALUE
- Bachelor’s degree in Computer Science, Information Technology, or a related field; advanced degree preferred.
- Experience leading data architecture projects in a complex, fast-paced environment.
- Ability to work collaboratively in a team environment and influence cross-functional teams.
- Strong project management skills, with the ability to manage multiple priorities and meet deadlines.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here* (https://www.honeywell.com/us/en)*
THE BUSINESS UNIT
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Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity :click here* (https://www.honeywell.com/us/en/company/inclusion-and-diversity)*
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity :
BENEFITS OF WORKING FOR HONEYWELL:
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, Educational Assistance; Parental Leave, Paid Time Off, and Paid Holidays.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
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About Honeywell

Honeywell
PublicThe future is what we make it.
10000+
Employees
Charlotte
Headquarters
Reviews
3.2
4 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.0
Career
3.0
Management
2.5
Pros
Good team and helpful colleagues
Fair pay and good benefits
Training and resources available
Cons
Limited job progression
Old boys club culture
High expectations with unclear answers
Salary Ranges
1,391 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst II
2 reports
$136,600
total / year
Base
$105,077
Stock
-
Bonus
-
$136,600
$136,600
Interview Experience
4 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Panel Interview
6
Online Assessment
7
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
Culture Fit
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