Lead technical design and engineering standards for scalable data platforms using Databricks, Spark, Python, PySpark, and dbt. Own architecture reviews, CI/CD, DataOps, observability, platform administration, deployment governance, migrations, and upgrades. Resolve complex platform challenges, mentor engineers, and guide code quality. Partner with stakeholders on roadmaps, prioritization, and technical trade-offs while supporting Mastercard’s cloud strategy.
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
Lead Data Engineer
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Mastercard is seeking a Lead Data Engineer to join our team in . This is a senior individual-contributor and technical leadership role that drives design standards and guides a team's engineering practices. It will appeal to you if you combine deep technical mastery with the ability to lead the technical direction of a team and elevate its overall engineering quality.
You will set the technical bar for how we build and operate data platforms at scale, balancing hands-on architecture with team leadership. Our teams are small, agile, and focused on the needs of the high growth fintech marketplace, and you will work across functional teams within Mastercard to deliver on our cloud strategy.
Key Responsibilities
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.
Required Qualifications
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.
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:
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
Lead Data Engineer
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Mastercard is seeking a Lead Data Engineer to join our team in . This is a senior individual-contributor and technical leadership role that drives design standards and guides a team's engineering practices. It will appeal to you if you combine deep technical mastery with the ability to lead the technical direction of a team and elevate its overall engineering quality.
You will set the technical bar for how we build and operate data platforms at scale, balancing hands-on architecture with team leadership. Our teams are small, agile, and focused on the needs of the high growth fintech marketplace, and you will work across functional teams within Mastercard to deliver on our cloud strategy.
Key Responsibilities
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.
Required Qualifications
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.
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.
Mastercard Mumbai, Maharashtra, IND Office
Mastercard Mumbai, India Office
Bandra Kurla Complex Road, Mumbai, Maharashtra, India, 400051
Similar Jobs at Mastercard
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads the design, development, deployment, and support of scalable data pipelines and platforms across Hadoop, on-premises, and AWS cloud environments. Builds batch and near-real-time processing frameworks, modernizes ETL and data warehouse workloads, implements governance and observability capabilities, and troubleshoots production issues. Mentors engineers, collaborates with cross-functional stakeholders, evaluates emerging technologies, and ensures secure, high-quality delivery for enterprise-scale data ecosystems.
Top Skills:
Amazon DynamodbAmazon EmrAmazon S3Apache AirflowApache HiveApache NifiSparkAWSAws GlueCassandraCloud Object StorageData LakehousesData LakesEnterprise Data WarehousesETLHadoopJavaOracleScalaSQLSQL Server
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads the architecture, delivery, modernization, and operations of enterprise data platforms, warehouses, databases, and engineering solutions. Designs ETL/ELT and CDC pipelines, manages cloud and database environments, improves reliability, security, scalability, and cost efficiency, and drives migrations and strategic initiatives. Provides technical leadership, mentors engineers, coordinates cross-functional projects, manages incidents and root-cause analysis, supports capacity planning, and collaborates with security, cloud, SRE, analytics, and business teams.
Top Skills:
Amazon CloudwatchAmazon S3Amazon VpcApache IcebergAurora MysqlAurora PostgresqlAws DmsAws GlueAws IamCdcCi/CdDatabricksDynamoDBEtl/EltGitlabMongodb AtlasMySQLPostgresPysparkPythonSnowflakeSQLTerraform
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Supports software engineering activities including programming, testing, implementation, documentation, maintenance, and software delivery. Develops secure, scalable solutions, researches technical alternatives, follows quality and audit standards, reports project metrics, and improves development processes. Collaborates with geographically distributed teams and learns new technologies, frameworks, and tools.
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
