Manager / Lead Data Engineering

About Zeta

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015.

Our flagship processing platform - Zeta Tachyon - is the industry's first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally.

Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios.

Zeta has over 1,700+ employees across the US, EMEA, and Asia, with 70%+ roles in R&D . Backed by SoftBank, Mastercard, and other investors , we raised $330M at a $2B valuation in 2025.

Learn more @ www.zeta.tech , careers.zeta.tech , Linkedin , Twitter

About The Role

As Manager, Data Engineering you will oversee a team of data engineers and architect, implement and manage several large, core business, data lakes and data warehouses, comprising data from multiple disparate sources.

Responsibilities

• Strategic Leadership & Architecture
• Define and drive the data engineering vision, strategy, and roadmap aligned with business goals.
• Design and oversee the implementation of modern, scalable data architecture on AWS cloud (e.g., data lakes, data mesh, data warehouses).
• Lead data platform modernization and migration initiatives. Stay abreast of emerging technologies and trends in the data engineering space. Evaluate and recommend tools and technologies to enhance the data engineering infrastructure.
• Team Management & Execution
• Build, lead, and mentor a high-performing team of data engineers and platform specialists.
• Establish development best practices, code standards, and CI / CD workflows for data pipelines and infrastructure.
• Data Infrastructure & Operations
• Oversee the ingestion, transformation, and integration of large-scale, complex data sets from internal systems (e.g., transaction processing, customer service) and external partners (e.g., credit bureaus, open banking APIs).
• Ensure high availability, reliability, and performance of the data platform in a highly regulated financial environment.
• Monitor and optimize the performance of data systems and pipelines. Identify and address bottlenecks and inefficiencies in data processes.
• Collaborate with Data Science, Analytics, Product, and Compliance teams to ensure secure and governed access to data assets.
• Governance, Security, and Compliance
• Partner with InfoSec, Compliance, and Risk teams to implement robust data security, privacy, and governance controls (e.g., PII management, SOC 2, GDPR, PCIDSS).
• Support data lineage, cataloging, and metadata management initiatives.
• Project Management
• Plan, prioritize, and manage multiple data engineering projects simultaneously. Track project progress and resource utilization.
• Documentation and Training
• Ensure thorough documentation of data engineering processes and systems. Provide training to team members and other stakeholders on data engineering best practices.

Skills

Experience And Qualifications

Equal Opportunity

Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success

Skills Required

Java, Airflow, Cloudformation, Scala, Data Warehousing, Apache Spark, Data Modeling, Gcp, Terraform, Docker, dbt, Database Design, Azure, Python, Kubernetes, Aws