Director Data Engineering

Overview

Lead Mastercard's data engineering strategy and enterprise-scale data platform initiatives across data warehouses, lakehouses, cloud environments, analytics, AI, and regulatory reporting.

What you'll do

• Define long-term data engineering strategy and multi-year platform roadmaps.
• Lead architecture and implementation of scalable data warehouse and lakehouse platforms.
• Direct cloud migration, platform modernisation, automation, and engineering excellence programmes.
• Build and develop teams of managers, principal engineers, lead engineers, and senior data engineers.
• Oversee strategic programmes supporting analytics, data science, product, fraud, and regulatory functions.
• Establish engineering KPIs, SLAs, governance frameworks, and operational standards.
• Lead high-severity incident resolution and systemic reliability improvements.

What you'll need

• 15+ years delivering enterprise-scale data warehouse, data lake, lakehouse, or big data solutions.
• 7+ years managing engineering managers, architects, and distributed engineering teams.
• Expertise with Kafka, Spark, Scala, Java, Python, Hadoop, and distributed storage and compute.
• Experience with AWS and hybrid cloud architectures, including S3, EMR, Glue, Athena, EKS, Airflow, and NiFi.
• Strong knowledge of data modelling, governance, quality, cataloguing, lineage, security, and MDM.
• Experience with CI/CD, Infrastructure as Code, DataOps, observability, Oracle, SQL Server, and Cassandra.
• Strong executive communication and experience influencing senior stakeholders.

Details

• Location: Hyderabad, India.