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Lead Data Engineer

Mastercard · Posted Nov 4

Global technology company connecting consumers, financial institutions, merchants, and businesses through secure payment processing and digital commerce solutions

Hyderabad, Andhra Pradesh, IndiaFull-timeOnsiteLead/Staff8+ years₹35.0L–₹50.0L yearly78 applicants
PaymentsFinancial ServicesFintechCredit CardsBankingPublic Company
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About the role

Mastercard is a global technology company in the payments industry, connecting and powering an inclusive digital economy across more than 210 countries and territories. The data platform teams are small, agile, and focused on the needs of the high growth fintech marketplace, working across functional teams within Mastercard to deliver on its cloud strategy. This senior individual-contributor and technical leadership role sets design standards for data platforms built on Databricks, Spark, Python, PySpark, and dbt, and guides a team's engineering practices.

What you will do

  • Set and enforce design standards, patterns, and best practices for pipelines built on Databricks, Spark, Python, PySpark, and dbt.
  • Provide technical leadership and direction to a team of engineers, owning architecture and design reviews.
  • Lead the design of CI/CD (GitLab, Jenkins), DataOps, and data observability strategy for the team.
  • Own Databricks platform administration standards and deployment governance using Databricks Asset Bundles.
  • Drive resolution of complex technical challenges across pipelines and the platform.
  • Mentor and grow engineers, establishing a strong code review and quality culture.
  • Partner with product and stakeholders on roadmap, prioritization, and technical trade-offs.
  • Own the deployment, migration, and upgrade strategy for the team's data platforms.

Skills used in this role

What the employer is looking for

  • Bachelor's or Master's degree in computer science or a related technical field.
  • 8+ years of data engineering experience, including demonstrated technical leadership.
  • Expert hands-on experience with Databricks (including administration), Spark, Python, and PySpark.
  • Deep dbt/TDD and CI/CD (GitLab, Jenkins) expertise.
  • Proven ability to define engineering standards and lead a team's practices.
  • Strong architecture and platform ownership across observability, cost, and performance.
  • Excellent communication and stakeholder management skills.
  • Ideally you have experience in banking, e-commerce, credit cards or payment processing and exposure to both SaaS and premises-based architectures. In addition, you have a post-secondary degree in computer science, mathematics, or quantitative science.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Mastercard

Mastercard is a global technology company in the payments industry that connects consumers, financial institutions, merchants, governments, and businesses worldwide. It operates a fast and secure payment processing network that spans more than 200 countries and territories. Through innovative products and solutions in credit, debit, digital assets, and security, Mastercard makes commerce safer, simpler, and more accessible.

Industry
Payments
Company size
10001+ employees
Founded
1966
Location
Purchase, New York, USA
Funding stage
Public Company

Funding

Public Company · $115M raised

Public Shareholders

Leadership

MM
Michael Miebach

Chief Executive Officer

SM
Sachin Mehra

Chief Business Officer

EM
Ed McLaughlin

President & Chief Technology Officer

SM
Susan Muigai

Chief People Officer

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