About the company
Creating a culture of collaboration in the U.S. From Austin and Atlanta to Highlands Ranch and our space in Mission Rock, our coast-to-coast hubs offer benefits, amenities and flexibility that complement each office, it’s vibe and the unique people.
Job Summary
Job Description And Responsibilities
📍As a Data Platform Architect within Visa’s Open Banking AI and Data Platform Domain, based in Stockholm, Sweden, you will lead the design, development, and implementation of our next-generation data platform. In this role, you’re responsible for driving the execution of the technical vision to deliver a secure, compliant, and resilient data ecosystem that powers a breadth of use cases, including (but not limited to) data warehousing, real-time and batch data processing, analytical events systems, advanced data modelling, and infrastructure management. You will collaborate closely with cross-functional teams across engineering, product, compliance, and AI to architect solutions that meet the demanding performance, scalability, security, and regulatory requirements of the Open Banking landscape. In this capacity, you will recommend and apply best-in-class architecture patterns, frameworks, and guidelines. You will set technical direction and mentor engineers to build high-quality, maintainable solutions that align with Visa’s strategic objectives. 📍This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
đź“ŤExtensive experience in data architecture, including data warehousing, ETL/ELT pipelines, and data lakes within enterprise-grade environments. đź“ŤProven track record in building secure, compliant, and resilient systems, with a deep understanding of security principles, privacy regulations (e.g. GDPR, PSD2). đź“ŤExpertise in data processing frameworks and programming languages (e.g. Spark, Hadoop, SQL, Python/Scala/Java) and analytical event streaming systems (e.g. Kafka, Kinesis). đź“ŤStrong background in advanced data modelling techniques, schema design, master data management, and metadata management. đź“ŤHands-on experience managing cloud infrastructures (e.g. AWS, Azure, GCP), containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform, CloudFormation). đź“ŤFamiliarity with AI/ML data pipelines, enabling integration of machine learning models into production data workflows. đź“ŤDemonstrated ability to lead end-to-end technical projects, set architectural vision, drive consensus across stakeholders, and deliver on time. đź“ŤExceptional communication, collaboration, and stakeholder management skills, with the ability to serve as a trusted advisor to senior leadership.
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đź“ŤDeep technical proficiency, strategic vision, providing mentorship and thought leadership, and engaging in high-level consultation across the organization.
