American Express

Sr. Solutions Architect II

Posted On

Aug. 14, 2025

Location

Chennai, Tamil Nadu

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Sept. 14, 2025

Job Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

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. Amex 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 skill fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

How will you make an impact in this role?

The Infrastructure Data & Analytics team unifies FinOps, Data Science and Business Intelligence to enable Technology cost transparency, infrastructure performance optimization and commercial efficiency for the enterprise through consistent, high-quality data and predictive analytics. This team within Global Infrastructure aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost awareness. Metric-driven cost optimization, workload-specific forecasting and robust contract management are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed.

We are seeking an experienced Solutions Architect for our team who can support the design, development and enhancement of our data model and architecture. This DataOps team sets the foundation for how infrastructure utilization, consumption and asset inventory data is ingested, validated, and presented in our suite of reporting capabilities. The Solutions Architect will help ensure our data architecture integrates seamlessly with other Technology platforms and optimizes performance with best architecture standards. This individual will be responsible for setting the strategy for our target data architecture, collaborating across Tech and business partners, leveraging best practices for risk and data management, and optimizing cross-platform integration.

Let’s build on what you know.

The role will require a unique blend of strong data ops technical and leadership skills to translate business decisions into data requirements. This individual will build a deep understanding of the infrastructure data we use in order to work across the ID&A team and key stakeholders the appropriate data to tell a data story. This includes designing and implementing a data architecture that follows enterprise architecture and data management best practices for ensuring data ingestion, transformation, storage and analytics are handled according to their specific purpose using the appropriate tools: ingestion captures raw data without applying business logic, transformation processes data discretely for auditability, and analytical queries retrieve structured outputs without relying on upstream processes. They will act as a key point of contact with upstream and downstream partner teams to ensure data is ingested and provided in a consistent and repeatable way. They will bring passion for data-driven decisions, enterprise solutions, and collaboration to the role, transforming platform data into actionable insights by utilizing data engineering and data visualization best practices.

Key responsibilities include:

Data Architecture: Perform all technical aspects of data architecture and solutions architecture for ID&A, including integrating data sources, defining appropriate data environments strategies, and enforcing API (Application Programming Interface) standardization as applicable
Data Design: Translate logical data architectures into physical data designs, ensuring alignment with data modeling best practices and platform blueprints
Data Process and Monitoring: Ensure proper data ingestion, validation, testing, and monitoring for ID&A data lake
Leads design and code reviews to ensure the delivery of best-in-class data analytics and adherence to enterprise standards
Data Migration: Design and support migration to a data model that is independent of the particular technologies or tools used for storing, processing, or accessing the data
Data Integrity: Ensure the accuracy, completeness, and quality of data is maintained over time regardless of upstream systems or downstream
Agile Methodologies: Act as the platform’s single point of contact (SPOC) when coordinating with relevant stakeholders and supervising the data architecture implementation
Identifies and implements technical solutions and business process improvements by analyzing business needs and leveraging innovative technologies
Ensures the engineered environment meets the specification in terms of business requirements, application design and infrastructure requirements, i.e. accountable for the platform integration performance and efficiency
Enterprise Thinking: Partner with data architects and engineers across Global Infrastructure and Asset Management teams to evolve the broader tech operations data architecture landscape
Responsible for coaching and mentoring engineering resources on solution architecture, providing advice, mentorship and assistance to less experienced colleagues as required
Contribute to decisions about new technologies, tools, methods and approaches
Innovation: Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights
Ensures accurate asset information and architecture decisions are well-documented in the appropriate systems and repositories

Minimum Requirements:

10+ years of solutions architecture, data architecture or DataOps engineering experience in designing pipeline orchestration, data quality monitoring, governance, security processes, and self-service data access
Prior experience in multiple IT disciplines with a confirmed understanding of architectural concepts (business, data, technical and solution) and real-time processing
Extensive experience using a systems analysis and design methodology that is applicable to an agile product environment
Advanced to authoritative level knowledge and understanding of solution architecture, complex application systems design and platform integration via modern approaches (i.e. RESTful APIs)
Ability to perform system design reviews to ensure selection of appropriate technology, efficient use of resources, and alignment to strategic platform roadmaps
Full understanding of Service Oriented Architecture design principles, execution patterns and performance optimization techniques
Able to participate in the prevention, diagnosis, and resolution of system outages as a leader in the underlying architecture
Hands-on coding experience in Python
Hands-on expertise with design and development across one or more database management systems (e.g. GCP, SQL Server, PostgreSQL, Oracle)
Strong analytical skills with a proven ability to understand and document business data requirements into complete, accurate, extensible and flexible logical data models, data visualization tools (e.g. Apptio BI, PowerBI)
Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems
Fluent in data risk, management, and compliance terminology and best practices
Proven track record for managing large, complex ecosystems with multiple stakeholders
Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance
An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape
Excellent influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication
Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack
Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus
Experience with design and coding across multiple platforms and languages a plus
Bachelor’s Degree in computer science, computer science engineering, data engineering, or related field required; advanced degree preferred

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
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

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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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