Mastercard is seeking to modernize and advance its Finance Technology landscape and architecture, and is looking for a Senior Principal Data Architect to lead the architecture design and development of end-to-end Finance infrastructure and capabilities.
Requirements
- Experience with data lifecycle management, including ingestion, ETL, modeling, and governance, within highly regulated environments
- Deep understanding of data modeling, data warehousing, and data lake architectures, tools and technologies
- Skills to succinctly articulate architecture patterns of complex systems, with business and technical implications, to executive and customer stakeholders
- Design and build for resilience, including observability, throttling, toggling, single points of failure, redundancy, replication, routing, micro services, and event driven processing
- Experience in design and execution of automation across multiple business areas and provides guidance on best methods and tools
- Performance engineering experience to ensure applications are built to scale, run, and perform for varying traffic patterns
- Skills to evaluate practices, metrics, and roles to continually optimize SDLC methodologies and automate processes to improve lead time and quality
Responsibilities
- Serve as the lead architect and oversee the technical vision and strategy, including the architecture, design, and development for Finance systems and applications
- Build scalable, secure, and resilient architecture aligned with business objectives and establish technical strategies and roadmaps
- Drive the innovation and transformation of the finance technology portfolio, leveraging cloud, data, and automation technologies to enhance the customer experience, operational efficiency, and business agility
- Collaborate with engineering, data, application, and operations teams to ensure architectures meet performance, security, and operational needs
- Identify and implement new architectural patterns and methodologies, driving innovation and continuous improvement for performance and cost-efficiency
- Drive the architectural design, including dependent services, service interactions, and policies
- Simplify and improve the cost/benefit of a function/service/architecture strategy
Other
- Advanced degree in Data Science, Engineering, Computer Science, or related field
- 15+ years of engineering experience in software, data, or related field
- Prior experience in financial systems, such as Oracle Financials, Oracle Fusion Cloud, and Hyperion, with experience optimizing their integration into broader data ecosystems, is a plus
- Abide by Mastercard’s security policies and practices
- Ensure the confidentiality and integrity of the information being accessed
