Director, Data Engineering

4 days ago

Pune, Maharashtra, India Mastercard Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Overview

  • We are seeking a visionary and hands-on Director of Data Engineering & Architecture to lead the design and delivery of scalable data solutions within Mastercards Core Services
  • This role combines deep technical expertise in big data technologies with strategic leadership and people management
  • You will architect systems that power Mastercards core transaction platforms and services, while mentoring a high-performing engineering team
  • Role Responsibilities Architect and deliver end-to-end data platforms using technologies such as Hadoop, Spark, Scala, and Python
  • Lead and mentor a team of data engineers and architects, fostering a culture of innovation, accountability, and continuous improvement
  • Lead the adoption of object store architectures like Ozone to overcome HDFS limitations in scalability and small file handling
  • Define and evolve Mastercards reference architecture for big data processing, ensuring alignment with enterprise engineering principles
  • Collaborate cross-functionally with product, infrastructure, and business teams to translate requirements into scalable technical solutions
  • Ensure engineering excellence through code reviews, architectural guidance, and adherence to best practices in software development and data governance
  • Drive performance and reliability improvements across data pipelines and platforms, proactively identifying and resolving bottlenecks
  • Champion modern engineering practices including CI/CD, DevOps, and cloud-native development

All About You

Technical Qualifications

  • Proven experience designing and delivering large-scale distributed data architectures in production environments
  • Deep expertise in Apache Ozone, including its metadata layer, replication protocols (RAFT), and S3-compatible object APIs4
  • Strong understanding of big data technologies (Hadoop, Spark, Scala, Python) and cloud platforms (AWS, Azure, GCP)
  • Experience with advanced design patterns (e.g, service-to-worker, API gateway, dependency injection) to implement efficient, scalable code
  • Skilled in infrastructure-as-code and orchestration tools (Terraform, Ansible, Jenkins)
  • Ability to simplify complex systems and reduce operational overhead through automation and standardization

Professional Skills

  • Strong leadership skills with experience managing and developing engineering teams
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • Experience with agile methodologies and modern software development lifecycle practices
  • Passion for mentoring, coaching, and building inclusive teams
  • Education Bachelors or Masters degree in Computer Science, Engineering, or related field.

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