Director Data Engineering

Mastercard Inc.; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Mastercard Inc. is seeking a Director, Data Engineering for its DC&E organization.

You will define and execute the technology vision for large-scale data warehouse, lakehouse and platform solutions, enabling advanced analytics and regulatory reporting across the enterprise. Lead a high-performing team, partner with executives, and drive cloud modernisation, data governance, and self-service data product initiatives across on-prem, hybrid, and cloud environments to deliver business outcomes

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary Director Data Engineering

Director, Data Engineering Data Collection & Engineering (DC&E) Overview Mastercard powers a connected and inclusive digital economy by delivering secure, resilient, and intelligent payment technologies across the globe. Every day, Mastercard processes billions of payment interactions and generates massive volumes of transaction, customer, merchant, fraud, and operational data that power critical business decisions and innovative products. As a Director, Data Engineering within the Data Collection & Engineering (DC&E) organisation, you will lead strategic data engineering initiatives that enable Mastercard's enterprise data ecosystem. You will be responsible for defining and executing the technology vision for large-scale Data Warehouse, Data Lakehouse, and Data Platform solutions supporting advanced analytics, AI, product innovation, regulatory reporting, and operational intelligence. This role requires a combination of strong people leadership, executive stakeholder management, and deep technical expertise in modern data platforms, cloud-native architectures, distributed processing frameworks, and enterprise-scale data governance. The ideal candidate will have a proven track record of building high-performing engineering organisations, driving large-scale cloud modernisation programmes, and delivering business outcomes through data at global scale.

Role Strategic Leadership

• Define and execute the long-term Data Engineering strategy aligned with Mastercard's AI, analytics, digital payments, and data platform roadmap.
• Partner with business, product, architecture, security, and technology leaders to translate strategic objectives into scalable data solutions.
• Drive organisational transformation initiatives involving cloud migration, platform modernisation, automation, and engineering excellence.
• Develop multi-year roadmaps for data platform evolution, capacity growth, and technology investment planning.

Data Platform Architecture

• Lead the architecture and implementation of highly scalable, secure, and resilient Data Lakehouse and Data Warehouse platforms.
• Establish enterprise standards for data ingestion, transformation, storage, governance, lineage, metadata management, observability, and quality control.
• Drive adoption of reusable engineering frameworks and platform capabilities that enable self-service data products and accelerated delivery.
• Ensure architecture supports a "Build Once, Deploy Anywhere" model across on-premises, hybrid, and public cloud environments.

Cloud Modernisation & Engineering Excellence

• Lead large-scale migration programmes moving enterprise data workloads from legacy platforms to cloud-native architectures.
• Establish best practices for distributed processing, workflow orchestration, platform automation, and infrastructure optimisation.
• Drive adoption of modern DataOps, DevOps, CI/CD, and Infrastructure-as-Code practices across the engineering organisation.
• Establish operational standards for platform resiliency, disaster recovery, performance engineering, and capacity management.

Engineering Organisation Leadership

• Build, lead, and develop high-performing teams comprising Managers, Principal Engineers, Lead Engineers, and Senior Data Engineers.
• Foster a culture of innovation, accountability, technical excellence, collaboration, and continuous learning.
• Drive workforce planning, succession management