Vice President, Data Engineering

Overview

Lead the strategic direction, operational oversight, and innovation of Mastercard’s enterprise-wide Data Platform. Build and lead a Multi-Agent ETL Platform team to modernize the global data ecosystem with secure, scalable, compliant, intelligent, and automated data pipeline capabilities.

What you'll do

• Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms.
• Architect and lead development of a Multi-Agent ETL Platform for batch and event streaming.
• Integrate AI agents to autonomously manage data discovery, schema mapping, error resolution, and other ETL tasks.
• Define and implement data ingestion, transformation, and delivery pipelines.
• Leverage LLMs and agent frameworks to automate pipeline management and monitoring.
• Ensure data governance, cataloging, versioning, and lineage tracking across the ETL platform.
• Define project roadmaps, KPIs, and performance metrics for platform efficiency and data reliability.
• Establish and enforce best practices in data quality, CI/CD for data pipelines, and observability.
• Collaborate with Data Science, Analytics, and Application Development teams to understand requirements and deliver data ingestion and processing workflows.
• Establish automation standards and monitoring frameworks for platform reliability, scalability, and security.
• Build relationships and communicate with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions.
• Improve team performance through recurring meetings, people management, career development, and risk awareness.
• Oversee deployment, monitoring, and scaling of ETL and agent workloads across multi-cloud environments.
• Improve platform performance, cost efficiency, and automation maturity.
• Abide by Mastercard’s security policies and practices.
• Ensure the confidentiality and integrity of accessed information.
• Report suspected information security violations or breaches.
• Complete periodic mandatory security training in accordance with Mastercard’s guidelines.

What you'll need

• Hands-on experience in data engineering, data platform strategy, or a related technical domain.
• Proven experience leading global data engineering or platform engineering teams.
• Proven experience building and modernizing distributed data platforms using Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop.
• Strong experience with one or more data pipeline tools, including NiFi, Airflow, dbt, Spark, Kafka, or Dagster.
• Experience with distributed data processing at scale.
• Proficiency in Python and SQL.
• Experience with data ecosystems including Oracle, AWS Glue, Azure Data Factory, BigQuery, or Snowflake.
• Deep understanding of data modeling, metadata management, and data governance principles.
• Proven success leading technical teams and managing complex, cross-functional projects.
• Proven ability to lead innovation in a scaled organization.
• Excellent communication skills, with the ability to tailor technical concepts to executive, operational, and technical audiences.
• Expertise and ability to lead technical decision making considering scalability, cost efficiency, stakeholder priorities, and time to market.
• Proven track record leading high-performing teams, including leading and coaching director-level reports and experienced individual contributors.
• Bachelor’s degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field; equivalent experience will also be considered.

Nice to have

• Experience building and managing AI-augmented or agent-driven systems.

Details

• Hybrid position based in O’Fallon, Missouri or Arlington, Virginia.
• Requires three days per week onsite.
• Title: Vice President, Data Platform Engineering.