Principal Data Platform Architect
Mastercard (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 40–65 LPA
Posted on 9 Sept
Reach people at Mastercard
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Mastercard you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design and evolution of enterprise data platforms to simplify secure external data exchange and enable better data discovery and access.
- Define technical vision, architecture, and roadmaps for scalable, reusable data onboarding, integration, governance, and self-service analytics capabilities.
- Provide technical leadership and influence architecture decisions across multiple teams while collaborating with Product, Engineering, Data Governance, and Security stakeholders.
Minimum Requirements
- Extensive experience architecting large-scale data platforms and distributed systems using technologies such as Spark, Kafka, Flink, NiFi, Hadoop, Databricks, and cloud-native services.
- Deep expertise in data engineering, data architecture, data integration, and cloud platforms with strong understanding of data governance, privacy, security, metadata, and data quality.
- Proficiency in Python, SQL, and data ecosystem tools including Oracle, AWS Glue, Azure Data Factory, BigQuery, Snowflake.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced architect capable of building reusable data platforms serving multiple products and business domains across hybrid environments.
- Strong influencer able to drive technical alignment and establish engineering standards across diverse teams without direct authority.
- Skilled in translating complex, ambiguous business needs into scalable technical solutions and collaborating with both technical and non-technical stakeholders.