487 IT & Software Developer jobs in the US
Senior Principal Software Engineer, Data Arch.
$200,000 - 368,000
Mastercard
Purchase Street 3990, Harrison
$200,000 - 368,000
Requirements
Must:
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- Proven experience as a Senior Principal Engineer or similar role in enterprise data architecture, data engineering, or data platform strategy.
- Extensive knowledge in building and modernizing distributed data platforms utilizing technologies like Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop.
- Practical experience with contemporary data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift.
- Skilled in designing and managing real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP).
- Familiarity with Data Mesh principles, federated governance, and the lifecycle management of data products.
- Experience in Agile environments, using modern delivery practices such as Scrum, SAFe, or product-centric models.
- Demonstrated success in steering large-scale data transformation and platform modernization projects in regulated sectors like Payments, Fintech, or Banking.
- Understanding of card data flows, merchant ecosystems, and frameworks like ISO 20022 and data localization regulations.
- Ability to influence technical and business decisions throughout all organizational levels, including C-suite stakeholders.
- Strong executive presence, capable of translating complex architectural concepts into accessible business language.
- Experience in mentoring and leading global, cross-functional high-performing technical teams.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field is required.
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Responsibilities
- Guide the design and execution of our enterprise data architecture within a complex global ecosystem.
- Propel modernization from legacy and on-premises systems to contemporary cloud-native and hybrid data platforms.
- Design scalable and secure data solutions that align with evolving regulatory standards (e.g., ISO 20022, data localization, GDPR).
- Develop reusable, domain-oriented data models that foster consistency, interoperability, and self-service across business units.
- Establish and implement architectural patterns that facilitate both real-time and batch data processing across relational and non-relational systems.
- Advocate for the adoption of modern data principles, including Data Mesh, data products, and federated governance.
- Serve as a pivotal technical leader on the Data & Analytics Architecture Review Board to ensure program and domain alignment.
- Collaborate with our Architecture, Security, and Engineering teams to integrate data architecture into our enterprise-wide standards.
- Utilize Agile methodologies for data architecture initiatives to promote iterative delivery, rapid feedback, and cross-functional collaboration.
- Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums.
- Elevate technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling.
- Act as a trusted advisor to business, product, and engineering leaders, aligning technical strategy with enterprise objectives.
- Cultivate relationships and communicate effectively with both internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions.
###
Description
Our purpose at Mastercard is to empower economies and individuals across 200 countries and territories. We work alongside our customers to promote a sustainable economy where everyone can thrive. Our technology and innovation facilitate a variety of digital payment options, ensuring transactions are secure, straightforward, smart, and accessible. Our Data & Analytics team is embarking on an ambitious transformation to modernize our global data ecosystem, unlocking value through secure, scalable, and compliant data capabilities. This role is not eligible for Mastercard’s work authorization sponsorship. Therefore, candidates must be authorized to work in the United States, both now and in the future, without sponsorship. Mastercard is a merit-based, inclusive, equal opportunity employer that welcomes applicants regardless of gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We aim to hire the most qualified candidate for the position. In the United States, if you need accommodations or assistance during the application or recruitment process, please contact the appropriate channels. All individuals with access to Mastercard’s assets, information, and networks are responsible for maintaining information security and should adhere to Mastercard’s security policies and practices, ensuring confidentiality and integrity of accessed information.
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