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Senior Data Architect

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives.  Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems.  American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source.  And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development.  Find your place in technology on #TeamAmex.

This role within American Express Technology (AET) will report into the NGDM Engineering Director.

Responsibilities:

  • Partner with business, product, engineering and data science teams to unlock the power of leveraging data across Amex.
  • Partner with development teams in the data design of complex solutions and ensure that they are in alignment with the data architecture principles, standards, strategies, and target states.
  • Drive data vision, strategy, and execution that meets the technology and business' needs including creating a highly scalable Core Data Element architecture comprising of operational and product data to build a Data fabric foundation for the enterprise.
  • Enforcing data architecture standards, procedures and policies to ensure consistency across different program and project implementations.
  • Adopting industry leading technologies to support best-in-class business capabilities for high performance computing and data storage solutions
  • Be a thought leader around all things Data, reviewing current and future needs
  • Core job function is to design highly performing data containers with minimal risk adjusted total ownership cost over system lifetime by:
    • Conducting session to understand business requirements and concept and defining logical organization of data
    • Selecting appropriate physical environment and technical framework based on requirements and company standards.
    • Model physical organization of data to cover all requirements and performance SLAs
    • Extend, optimize and tune data structures, load and access methods on on-going basis to ensure reduced cost and increased longevity of a data solution.

Qualifications:

  • Bachelor’s Degree in Computer Science, Computer Engineering, Statistics, Math or related STEM fields. Advanced degree preferred.
  • 8+ years of experience of technology platform implementation in a technical and analytical role
  • 6+ years of Data Architecture experience in a large complex data ecosystem, domain expertise with complex high-tech environments.
  • 6+ years of building both traditional and cloud native architectures and big data platforms in support of digital transformation.
  • 6+ years of experience in Industry 4.0 initiatives and/or other aspects of corporate data management; e.g. Data Governance, Data Security, AI/ML, Data DevOps.
  • 6+ years of experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, BigQuery, DynamoDB, MongoDB, Cassandra, Couchbase, etc.).
  • Hands-on experience with industry leading data management tools that support the data lifecycle, and capable of setting and driving long term data architecture roadmaps in alignment with corporate strategic objectives.
  • Have cursory knowledge of enterprise architecture to be able to work with Applications, Infrastructure and Security architect(s) to develop comprehensive solutions
  • Experience with any of the following Data Modeling tools (or similar tools):
    • ER/Studio
    • Erwin Data Modeler
    • Oracle SQL Developer Data Modeler
    • PowerDesigner
  • Experience and knowledge with data security and privacy concerns
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Strong analytical skills and algorithmic problem-solving skills.

Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • Competitive base salaries 
  • Bonus incentives 
  • 6% Company Match on retirement savings plan 
  • Free financial coaching and financial well-being support 
  • Comprehensive medical, dental, vision, life insurance, and disability benefits 
  • Flexible working model with hybrid arrangements depending on role and business need 
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy 
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
  • Free and confidential counseling support through our Healthy Minds program 
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will work in a hybrid model (combination of in-office and virtual days).

US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement.

If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

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What You Should Know About Senior Data Architect, American Express

Are you ready to take on a pivotal role as a Senior Data Architect at American Express in Phoenix, Arizona? At Team Amex, we're all about innovation and collaboration. Here, you will partner with business, product, engineering, and data science teams to harness the full potential of data across the organization. Imagine designing complex solutions that align perfectly with our architectural principles, while enforcing standards that ensure smooth implementations. You'll lead the charge in creating a flexible and scalable Core Data Element architecture, forming the backbone of our enterprise's data fabric. This role is about more than just data; it's about making informed strategic decisions that propel our technology and business forward. As you engage with cutting-edge technologies in a supportive and inclusive environment, your voice will be heard, and your contributions valued. And let’s not forget the exciting professional development opportunities that come your way to keep your skills sharp. In the ever-evolving world of data, you'll be our thought leader—adopting best practices to drive exceptional performance and longevity in our data solutions. If you're looking to make a real impact and thrive in a culture that celebrates diversity and growth, come join us at American Express where together, we’ll lead the way to an amazing future!

Frequently Asked Questions (FAQs) for Senior Data Architect Role at American Express
What are the main responsibilities of a Senior Data Architect at American Express?

As a Senior Data Architect at American Express, you will be responsible for partnering closely with various teams to leverage data effectively. This involves designing and enforcing data architecture standards, creating scalable data solutions, and driving the overall data vision and strategy within the company. You will play a crucial role in ensuring that both operational and product data are structured effectively, enabling seamless access and utilization across the enterprise.

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What qualifications are required for the Senior Data Architect role at American Express?

To be considered for the Senior Data Architect position at American Express, candidates must have a Bachelor’s Degree in Computer Science, Computer Engineering, or a related STEM field, along with at least 8 years of experience in technology platform implementation. Notably, 6 years of experience in a data architecture role within a complex ecosystem is essential, especially with a strong understanding of both traditional and cloud-native architectures.

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What technologies does a Senior Data Architect at American Express work with?

Senior Data Architects at American Express work with a wide range of industry-leading technologies and data management tools. This includes experience with data modeling tools like ER/Studio and Erwin Data Modeler, as well as knowledge of NoSQL platforms such as MongoDB, Cassandra, and cloud services like BigQuery. Furthermore, you'll engage with data lifecycle management tools that are essential for maintaining high-quality data architectures.

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How does American Express support the professional development of its Senior Data Architects?

American Express is committed to the growth of its employees, including Senior Data Architects. The company encourages continuous learning by providing dedicated time for professional development, access to training opportunities, and resources to stay updated with the latest industry trends and technologies. This ensures that you can hone your skills and remain competitive in the fast-paced tech landscape.

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What is the work culture like for a Senior Data Architect at American Express?

The work culture for Senior Data Architects at American Express is both supportive and inclusive. Team collaboration is highly valued, and you’ll find that your voice and ideas are respected. The company fosters an open environment where innovation thrives, allowing you to contribute to meaningful projects that impact customers and the broader engineering community. Flexibility in working arrangements also allows for a healthy work-life balance.

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Common Interview Questions for Senior Data Architect
Can you explain your experience with data modeling tools for the Senior Data Architect position?

When answering this question, highlight specific data modeling tools you have used, such as ER/Studio, Erwin Data Modeler, or PowerDesigner. Discuss how you utilized these tools to design data structures that meet business requirements and performance SLAs. Provide examples of complex projects where your modeling skills made a significant impact.

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Describe a time when you had to enforce data architecture standards across multiple teams.

Share a situation where you implemented data architecture standards and the challenges you faced. Emphasize your collaborative approach and how you communicated the benefits of adhering to these standards. Discuss the positive outcomes that resulted from enforcing these techniques, such as improved efficiency or consistency.

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How have you contributed to a data governance initiative in your previous roles?

In your answer, illustrate your specific involvement in data governance initiatives. Discuss your understanding of data security, privacy, and compliance. Provide examples of the steps you took to develop and implement effective data management policies, and how it benefited your organization.

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What strategies do you use to optimize data structures and ensure performance?

Explain your approach to optimizing data structures, citing specific techniques or methodologies you apply regularly. Discuss how you analyze performance metrics and adapt your designs accordingly. Providing concrete examples of past improvements can strengthen your response.

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How do you stay updated with the latest trends in data architecture and management?

Mention the resources or networking opportunities you regularly engage with, such as industry conferences, online courses, or professional organizations. Highlight any certifications or training you are pursuing to enhance your knowledge and skills in data architecture.

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What has been your biggest challenge when working with cloud-native architectures?

Discuss a specific challenge related to cloud-native architectures, such as data migration or scalability issues. Describe how you tackled this challenge, the strategies you employed, and the lessons learned from that experience.

Join Rise to see the full answer
Explain your experience with high-scale RDBMS and NoSQL databases.

Provide an overview of your experience using both high-scale relational databases and NoSQL solutions. Discuss specific projects where you applied these technologies, the advantages they brought to those projects, and how you navigated their inherent differences.

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Can you provide an example of a successful data project you led?

Share details of a data project you led from conception to execution, focusing on your role as a Senior Data Architect. Highlight the objectives, challenges faced, and how you collaborated with other teams to achieve successful outcomes, emphasizing quantifiable results.

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How would you handle conflicting requirements from various stakeholders?

Illustrate a scenario where you dealt with conflicting requirements. Discuss your approach to gather, analyze, and prioritize those needs, ensuring that all stakeholders feel heard while steering the project toward a viable data solution.

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What do you consider the most important qualities of a Senior Data Architect?

In your answer, highlight qualities such as strong analytical skills, effective communication, and the ability to think strategically. Emphasize how these traits are crucial for successfully navigating the complexities of data architecture and fostering collaboration within teams.

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American Express is a multinational financial services corporation and global leader in providing personal, small business, and corporate credit cards.

2262 jobs
MATCH
VIEW MATCH
BADGES
Badge Family FriendlyBadge Office VibesBadge Work&Life BalanceBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Mental Health Resources
Life insurance
Disability Insurance
Child Care stipend
Employee Resource Groups
Learning & Development
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 4, 2025

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