Data Engineering Lead — GenAI & Big Data Systems

PowerToFly

Foster City (CA)

On-site

USD 192,000 - 308,000

Full time

5 days ago

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Benefits offered by this job

Medical, Dental, Vision

401(k)

FSA/HSA

Paid Time Off

Wellness Program

Job summary

Visa seeks a Senior Manager, Data Engineering to lead 8–10 engineers in building and operating scalable data platforms. You will drive architecture, hands-on development, and customer engagements, while promoting an agile engineering culture and secure, high-performance systems.

GenAI initiatives are a key part of delivering value and efficiency. You will collaborate with product, QA, risk, compliance, and security to ensure safe, transparent solutions with data quality at scale.

Qualifications

8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 11+ years of relevant work experience.
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
3+ years of relevant work experience managing engineering teams
5+ years of experience with Big Data technologies (Hive, Hadoop, Spark)
5+ years of experience with Java, Scala, or Python; able to write clean, production-quality prototypes and core components quickly
Experience with Graph databases and RESTful APIs
Hands-on experience applying GenAI and LLMs in data engineering, including leading initiatives that use GenAI to improve team efficiency
Proventrack record leading large-scale projects with quantifiable business outcomes, from inception to delivery
Strong leadership and team-building skills, including mentoring and growing junior engineers
Skilled at setting technical goals with measurable success metrics, including evaluating services from a user-experience perspective
Results-oriented and self-motivated, with a strong learning mindset and current knowledge of data-domain trends, technologies, and best practices
Excellent verbal, written, and presentation skills, with the ability to communicate architectural concepts clearly across all levels of the organization, including executive management
Experience with cloud platforms and services (e.g., AWS, Azure, GCP) for data engineering solutions.
Experience with machine learning and AI-powered data solutions.
Experience in developing large-scale, enterprise-class distributed systems of high availability and low latency.
Experience in leading cross-functional teams in a matrixed organization.

Responsibilities

Provide hands-on technical leadership and mentoring to a team of 8-10 engineers, delivering robust, scalable solutions on time
Serve as technical lead for some of the products in the organization — driving planning, architecture, hands-on development, and technical direction
Own customer engagement for assigned products: manage customer expectations, drive adoption, and act as the primary technical point of contact
Lead the design and implementation of secure, reliable, and performant systems that meet the platform's functional needs
Build and promote an agile, high-quality engineering culture across design, development, and production deployment
Partner with geographically distributed teams to resolve technical challenges and improve processes
Drive knowledge sharing with Operations teams during and after deployment
Champion innovation by evaluating and adopting technologies and practices — including GenAI — that improve productivity and quality