Back to jobs
Mastercard

Principal Data Platform Architect

Pune, Mahārāshtra, India

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Pay, work setup, and employment type unconfirmed

Not confirmed in this saved copy: pay, work setup, employment type. Check the full posting

Tools in this posting

  • python
  • sql
  • aws
  • azure
  • bigquery
  • databricks
Source — Tool mentions in context
Collaborate with Product, Engineering, Data Governance, Security, and business stakeholders to solve complex data challenges. Translate business needs into scalable technical solutions. Build alignment around platform investments and strategic priorities. All About You Extensive experience architecting and building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services. Deep expertise in data engineering, data architecture, data integration, and cloud-native platforms. Experience building reusable platforms that serve multiple products, teams, or business domains. Strong understanding of data governance, privacy, security, metadata, and data quality practices. Demonstrated ability to influence technical direction across organizations. Exceptional communication skills with both technical and non-technical stakeholders. Proven track record of translating ambiguous business challenges into scalable technical solutions. Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.). Corporate Security Responsibility
All 11 tools

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.

Already applied? Track this application

About applying

Apply opens the employer’s site in a new tab. Add your outcome here after you submit.

Source details & eligibility

Before you apply

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Pune, Mahārāshtra, India

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Posting history
Status in our records
Active
First seen by us
Sep 9, 2026
Recorded sightings
1

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

Skills in this posting

pythonsqlawsazurebigquerydatabrickskafkaoraclesnowflakesparkhadoop

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

Principal Data Platform Architect

Overview
Mastercard is seeking a highly influential Principal Data Platform Architect to help define and deliver the next generation of enterprise data capabilities.

This role will lead the design and evolution of strategic platforms that simplify how external data is securely exchanged with Mastercard and enable product teams, consultants, and analysts to more easily discover, access, and leverage enterprise data. The successful candidate will help transform complex, fragmented data processes into scalable, self-service experiences that accelerate innovation and unlock greater value from Mastercard's data assets.

Key Responsibilities
Define Enterprise Data Platform Strategy

Drive the technical vision and architecture for enterprise data onboarding, exchange, discovery, and consumption capabilities.
Develop roadmaps that balance immediate business needs with long-term platform scalability and reuse.
Identify opportunities to simplify and standardize recurring data workflows across Mastercard.
Enable Frictionless Data Exchange

Design capabilities that streamline the secure onboarding, sharing, and management of external data.
Establish reusable patterns for data integration, governance, observability, lineage, and compliance.
Reduce reliance on bespoke solutions through automation and self-service capabilities.
Democratize Access to Data

Create intuitive ways for product teams, consultants, analysts, and AI-powered solutions to discover and utilize trusted enterprise data.
Enable self-service analytics and rapid solution development without requiring deep technical expertise.
Partner with governance and security teams to balance accessibility with appropriate controls.
Provide Technical Leadership

Serve as a technical authority across multiple engineering organizations.
Influence architecture and technology decisions without direct authority.
Establish engineering standards, best practices, and reference architectures.
Mentor engineers and architects across the organization.
Partner Across the Business

Collaborate with Product, Engineering, Data Governance, Security, and business stakeholders to solve complex data challenges.
Translate business needs into scalable technical solutions.
Build alignment around platform investments and strategic priorities.


All About You
Extensive experience architecting and building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services.
Deep expertise in data engineering, data architecture, data integration, and cloud-native platforms.
Experience building reusable platforms that serve multiple products, teams, or business domains.
Strong understanding of data governance, privacy, security, metadata, and data quality practices.
Demonstrated ability to influence technical direction across organizations.
Exceptional communication skills with both technical and non-technical stakeholders.
Proven track record of translating ambiguous business challenges into scalable technical solutions.
Proficiency in Python, SQL, and data ecosystems (Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake, etc.).

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.