Principal Data Engineer (AWS, Databricks, Ai, ML Flow, Data Architecture, Apache Airflow)
Mastercard (company site, opens in a new tab)12–18 yrsPuneOn-siteDirect career pageEst. 50–90 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, design, and engineering of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI workloads.
- Design and build secure, reliable data ingestion, transformation, enrichment, and consumption pipelines including governed lakehouse and modern data platform architectures using cloud-native technologies.
- Provide hands-on technical leadership, design reusable data products and self-service capabilities, and collaborate with cross-functional teams to mature R&D initiatives into enterprise-grade production solutions.
Minimum Requirements
- 12-18 years of relevant experience owning complex enterprise data engineering solutions.
- Strong programming skills in Python, PySpark, and advanced SQL expertise including data modeling and query optimization.
- Experience building and operating large-scale cloud-native data platforms (AWS, Azure, or equivalent) using distributed data processing technologies like Apache Spark and workflow orchestration tools such as Apache Airflow.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline (or equivalent practical experience).
Ideal Candidate Profile
- Demonstrated ability to deliver production-quality, scalable, secure, and governed data platforms while balancing innovation, maintainability, and cost in an evolving R&D environment.
- Experienced in leading cross-functional teams and influencing technical decisions without formal management authority, focusing on providing technical direction and mentorship.
- Skilled at translating ambiguous research and innovation requirements into practical architectures and reusable engineering capabilities that support AI and machine learning lifecycle.