Visa · 2 days ago
Data Engineer - Sr. Consultant level
Visa is a world leader in payments technology, facilitating transactions globally. The Data Engineer - Sr. Consultant is responsible for designing, optimizing, and scaling Visa’s data platforms, delivering high-impact data solutions, and leading technical design for complex initiatives.
BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments
Responsibilities
Architect and implement large-scale data pipelines, ingestion frameworks, and processing systems that support analytics, real-time insights, and enterprise workloads
Lead the design and development of scalable data models, lakehouse structures, and distributed compute solutions across Hadoop and cloud platforms
Provide deep technical guidance during design reviews, code reviews, and architectural discussions, influencing engineering decisions within assigned domains
Build automation frameworks, reusable components, and self-service tooling that improve platform efficiency and reduce operational overhead
Drive platform improvements in data quality, observability, governance, reliability, and performance
Lead multi-team technical projects, collaborating closely with engineering, analytics, and product partners to deliver high-impact data solutions
Evaluate emerging tools and technologies, recommending enhancements that strengthen scalability and data engineering productivity
Mentor Senior and Mid-level Engineers, fostering technical growth and reinforcing engineering best practices
Support strategic initiatives such as cloud migrations, pipeline optimization, data lake/lakehouse modernization, and platform tuning
Qualification
Required
8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
Preferred
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
Strong expertise in distributed data processing using Hadoop, Apache Spark, and modern data lake/lakehouse architectures
Advanced programming proficiency in PySpark, Scala, and Python, with experience building production-grade data applications
Deep knowledge of SQL, distributed query engines (Presto, Trino, Hive, SparkSQL), and database performance optimization
Hands-on experience designing and managing relational databases, NoSQL systems, and scalable storage solutions
Proficiency in data modeling, ETL/ELT patterns, and data warehousing design
Strong experience with AWS, GCP, and Azure for cloud-based data architectures, including data lakes, orchestration tools, and distributed compute
Advanced proficiency with Databricks, including: Notebook and job optimization, Delta Lake design and tuning, Cluster and workspace management, CI/CD integration for data workloads, Performance tuning for distributed processing
Ability to lead technical efforts across teams, troubleshoot complex issues, and deliver scalable, resilient data solutions
Strong communication and collaboration skills to work effectively with product, analytics, and engineering partners
Benefits
Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program
Company
Visa
Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.
H1B Sponsorship
Visa has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (459)
2024 (424)
2023 (416)
2022 (515)
2021 (351)
2020 (407)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO
Recent News
Payments Dive
2026-01-08
2026-01-08
2026-01-07
Company data provided by crunchbase