Company Careers ·
full-timeVice President, Data Engineering
Mastercard · Hyderabad
Mastercard operates a global payments network that enables secure, simple and smart transactions across more than 200 countries and territories. The Vice President, Data Engineering role leads the Data Platform Engineering team in Hyderabad, focusing on modernizing the enterprise‑wide data ecosystem. The incumbent will drive the shift from legacy on‑prem systems to cloud‑native and hybrid platforms, architecting a Multi‑Agent ETL platform that uses AI agents and orchestration tools such as Apache Airflow, NiFi, Spark, Kafka and LangChain to automate data ingestion, transformation and delivery. Responsibilities include defining data governance, cataloging, versioning and lineage, establishing CI/CD and observability practices for data pipelines, and collaborating with data science, analytics and application teams to deliver reliable workflows. The role also involves setting roadmaps, KPIs and performance metrics, mentoring engineers, and communicating platform value to senior stakeholders. Candidates should have deep data engineering expertise, experience with AI/automation frameworks, and proven leadership in large‑scale data infrastructure projects.
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 Vice President, Data Engineering 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. Vice President, Data Platform Engineering Overview: Mastercard is seeking a Vice President, Data Platform Engineering team, who will be responsible for strategic leadership, operational oversight, and innovation for our enterprise-wide Data Platform. Mastercard’s Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem—unlocking value through secure, scalable, and compliant data capabilities. The platform currently includes core components such as Apache NiFi, Apache Spark, and MinIO, and supports multiple internal applications for data ingestion, processing, and storage. We are seeking an experienced and visionary Vice President to build and lead a Multi-Agent ETL Platform team. This role will design, develop, and operationalize an intelligent, scalable, and automated data pipeline ecosystem that uses AI agents, orchestration frameworks, and modern data engineering tools to extract, transform, and load data from legacy diverse systems. The ideal candidate combines data engineering expertise, AI/automation experience, and leadership skills to drive innovation and efficiency in our data infrastructure. This is a hybrid position based in O’Fallon, MO or Arlington, VA, requiring three days per week onsite. Role: • Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. • Architect and lead the development of a Multi-Agent ETL Platform for batch and event streaming, integrating AI agents to autonomously manage ETL tasks such as data discovery, schema mapping, and error resolution. • Define and implement data ingestion, transformation, and delivery pipelines using scalable frameworks (e.g., Apache Airflow, Nifi, dbt, Spark, Kafka, or Dagster). • Leverage LLMs, and agent frameworks (e.g., LangChain, CrewAI, AutoGen) to automate pipeline management and monitoring. • Ensure robust 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 closely with cross-functional teams (Data Science, Analytics, and Application Development) to understand requirements and deliver efficient data ingestion and processing workflows. • Establish and enforce best practices, automation standards, and monitoring frameworks to ensure the platform’s reliability, scalability, and security. • Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. • Continuously engage and improve teams’ performance by conducting recurring meetings, knowing your people, managing career development, and understanding who is at risk. • Oversee deployment, monitoring, and scaling of ETL and agent workloads across multi cloud environments • Continuously improve platform performance, cost efficiency, and automation maturity. All About You: • 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 in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. • Strong experience with one or more of data pipeline tools (Nifi, Airflow, dbt, Spark, Kafka, Dagster, etc.) and distributed data processing at scale • Experience building and managing AI-augmented or agent-driven systems will be a plus • Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.). • Deep understanding of data modeling, metadata management, and data governance principles. • Proven success in leading technical teams and managing com
| Role | Vice President, Data Engineering |
|---|---|
| Company | Mastercard |
| Location | Hyderabad |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-07 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Vice President, Data Engineering at Mastercard: frequently asked questions
- What is the salary for this role?
- Mastercard has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Vice President, Data Engineering position remote, hybrid or onsite?
- The listing gives Hyderabad as the location and does not state a work mode.
- What is the application deadline?
- Mastercard has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Vice President, Data Engineering role?
- Use the Apply button on this page. It opens the original listing on mastercard.wd1.myworkdayjobs.com, where you submit your application with the company.
More at Mastercard
Other jobs at Mastercard
- Senior Specialist, Product Management - Commercial Strategy, Pricing & Go-to-market · Gurgaon
- Lead Software Engineer - Java Spring Boot, Kafka And Event-driven Architecture · Pune
- Senior Analyst, Risk Management · Pune
- Software Engineer II | Data & AI Platform · Pune
- Lead Software Integration Engineer(quality Engineer) · Pune
Explore Related Placements
// similar opportunities
You might also like
Vice President — Engineering
100 Network
Vice President — Engineering 100 network Agency job via TalentXO by tabbasum shaikh Apply now Bengaluru (Bangalore) · 14 - 15 years · ₹70L - ₹90L / yr · Posted ...
Vice President, Software Engineering
Mastercard
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sust...
Vice President, Solutions Engineering EMEA
Netskope
Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate...
Data Engineering
Tokyodev
¥6.4M ~ ¥11.0M Conversational Japanese Apply from abroad Partially remote Data Engineering Engineering Management...
0-1 year experience eligible.
Data Engineering Mts/smts - ETL
Salesforce
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category...
Senior Data Engineer, Data Engineering
Mastercard
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sust...