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Visa

Lead Data Architect

Visa

H1B ✓Hybridsenior levelPosted March 27, 2026

About the Role

The Lead Data Architect will be responsible for designing and governing real-time and event-driven data architectures, primarily leveraging Apache Kafka and Azure streaming services. This role involves defining end-to-end data architecture patterns across various processing paradigms and developing technical standards to guide delivery teams.

Requirements

Candidates need significant experience, with basic qualifications requiring 10+ years of relevant work experience or advanced degree equivalents, and preferred qualifications suggesting 8+ years as a Data Architect with deep expertise in streaming architectures like Kafka. Strong hands-on experience with various Azure data and analytics platforms is also required.

Full Job Description

Company Description

Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.

Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.

Pismo’s 500+ employees are located in more than 10 countries around the world.

Job Description

Key Responsibilities:

  • Design and govern real-time and event‑driven data architectures leveraging Apache Kafka and Azure streaming services (e.g., Azure Event Hubs with Kafka compatibility, Azure Stream Analytics).
  • Define and maintain end‑to‑end data architecture patterns across real‑time, near‑real‑time, and batch processing paradigms.
  • Develop and maintain reference architectures, data flow diagrams, and technical standards to guide platform and delivery teams.
  • Partner closely with Data Engineering, Platform, and Enterprise Architecture teams to deliver solutions that are scalable, secure, well‑governed, and compliant.
  • Lead proofs of concept (PoCs) and technology evaluations, providing clear architectural recommendations and trade‑off analyses.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications:

  • 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications:

  • 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD.
  • 8+ years’ experience as a Data Architect or Senior Data Engineer, operating in complex enterprise environments.
  • Deep expertise in streaming architectures, including managed or commercial distributions (e.g., Kafka‑compatible Azure Event Hubs or Confluent on Azure).
  • Strong hands‑on experience with Azure data and analytics platforms, such as: Azure Data Lake, Storage Gen2 / Azure Blob Storage, Azure Event Hubs, Azure Data Factory, Azure Synapse Analytics, Azure Functions, Azure Kubernetes Service (AKS) or Azure Container Apps.
  • Proven experience designing and delivering both streaming and batch data solutions at enterprise scale.
  • Experience with Databricks, AWS and Apache Airflow (or equivalent orchestration and transformation tools) - nice to have.
  • Prior experience in Banking or financial services, particularly in architecture roles within regulated environments.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is $173,100.00 to $276,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

  • Job Family Group: Engineering and Technology
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    Compensation

    Base Salary (from JD)

    $173,100 – $276,800

    AI Est. Total Comp

    $345,000

    Details

    Location

    Austin

    Work Type

    Hybrid

    Seniority

    senior level

    Experience

    10+ years

    Category

    management

    Quality Score

    7.7

    Key Skills

    Apache KafkaAzure Streaming ServicesAzure Event HubsAzure Stream AnalyticsData Architecture PatternsReal-time ProcessingBatch ProcessingReference ArchitecturesData Flow DiagramsAzure Data LakeAzure Synapse AnalyticsAzure Kubernetes ServiceDatabricksAWSApache AirflowData Governance