Lead Data Engineer

Mastercard Inc.; Arlington (VA); Hybride; USD 161 000 - 266 000; Plein temps

Avantages offerts par ce poste

Health insurance

401k with company match

Paid time off

Fitness reimbursement

Résumé du poste

Mastercard in Arlington, VA is seeking a Lead Data Engineer to design, build, and scale cloud-native data and BI solutions across a multi-cloud ecosystem. You will focus on Databricks, Snowflake, and AWS to deliver scalable data pipelines and platform capabilities for enterprise data products.

The role requires strong hands-on engineering and technical leadership, with collaboration across Product, Architecture, Engineering, Data, and Business teams. Hybrid onsite three days/week in Arlington.

Qualifications

• Deep hands-on experience as a Lead or Senior Data Engineer.
• Strong expertise with Databricks, Snowflake, and AWS.
• Proficiency with Apache Spark/PySpark, Delta Lake, SQL, and Python for large-scale data processing.
• Experience building scalable ETL/ELT pipelines and data integration frameworks.
• Experience designing multi-cloud data architectures and cross-cloud integrations.
• CI/CD, Infrastructure as Code, automation, Git/GitHub, and DevOps practices for data platforms.
• Experience implementing enterprise security, governance, and access controls.
• Knowledge of Delta Lake and Apache Iceberg is a plus.
• Understanding of FinOps and cloud cost optimization.

Responsabilités

• Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS.
• Build scalable data pipelines and analytics frameworks for enterprise data products.
• Lead multi-cloud architectures across AWS and Azure, including Azure Databricks and ADLS Gen2.
• Enable integration and interoperability across Databricks, Snowflake, AWS and Azure services.
• Build and maintain CI/CD pipelines, automation frameworks, and IaC for provisioning and deployment.
• Implement secure access patterns using RBAC, IAM, service principals, and identity integration.
• Lead architecture reviews and mentor engineers from design through implementation.
• Collaborate with Product, Architecture, Engineering, Data, and Business teams.

Connaissances

Databricks

Snowflake

AWS

PySpark

SQL

Python

CI/CD

IaC

RBAC IAM

Multi-cloud

Formation

Bachelor's degree in Computer Science or related field

Equivalent practical experience

Outils

Azure Databricks

ADLS Gen2

Description du poste

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 Overview: Mastercard’s Data Commercialization Platform (DCP) team is seeking a Lead Data Engineer to design, build, and scale cloud-native data and Business Intelligence solutions across a modern multi-cloud data ecosystem. This role will focus heavily on Databricks, Snowflake, and AWS, building scalable data pipelines, analytics frameworks, and platform capabilities that support enterprise data products. You will also help drive a multi-cloud architecture across AWS and Azure, enabling secure and governed interoperability across platforms, compute engines, and cloud providers. The ideal candidate combines strong hands‑on engineering expertise with technical leadership and can translate complex platform requirements into scalable, reliable, secure, and cost‑effective solutions. This is a hybrid role based in Arlington, VA requiring three days per week onsite.

Role:

• Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS.
• Build scalable, high-performance data pipelines and analytics frameworks supporting enterprise data products.
• Drive implementation of multi-cloud architectures across AWS and Azure, including Azure Databricks and ADLS Gen2.
• Enable seamless integration and interoperability across Databricks, Snowflake, AWS services, and Azure services.
• Build and maintain CI/CD pipelines, automation frameworks, and Infrastructure as Code for reliable data platform provisioning and deployment.
• Implement secure and governed access patterns using RBAC, IAM, service principals, and enterprise identity integration.
• Design reusable platform capabilities that enable data interoperability across multiple compute engines and cloud providers.
• Establish engineering standards for development, testing, deployment, monitoring, documentation, and operational excellence.
• Optimize data platforms and workloads for performance, scalability, reliability, resiliency, and cost efficiency.
• Lead technical design reviews and influence architecture and platform engineering decisions.
• Partner with Product, Architecture, Engineering, Data, and Business teams to translate complex requirements into scalable and sustainable technical solutions.
• Provide technical leadership and mentorship to engineers while driving initiatives from design through implementation.

All About You:

• Deep hands‑on experience as a Lead or Senior Data Engineer, designing and building enterprise-scale cloud data, analytics, and BI platforms.
• Strong expertise with Databricks, Snowflake, and AWS, including AWS services such as S3, Glue, EMR, and IAM.
• Advanced proficiency with Apache Spark/PySpark, Delta Lake, SQL, and Python for large-scale data processing and analytics.
• Experience building scalable ETL/ELT pipelines, data integration frameworks, and distributed data solutions.
• Experience designing multi-cloud data architectures and integrations across AWS and Azure; experience with Azure Databricks and ADLS Gen2 is a plus.
• Strong experience with CI/CD, Infrastructure as Code, automation, Git/GitHub, and DevOps practices for data platforms.
• Experience implementing enterprise security, governance, and access controls, including RBAC, IAM, service principals, data lineage, metadata management, and observability.
• Knowledge of modern and open data architectures and formats, including Delta Lake and Apache Iceberg.
• Understanding of FinOps, cloud cost optimization, performance, and scalability for large-scale data workloads.
• Proven ability to lead technical design and architecture decisions, drive complex engineering initiatives across teams, and mentor engineers.
• Strong communication and stakeholder management skills, with the ability to clearly articulate technical decisions, trade‑offs, risks, and recommendations.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline. Equivalent practical experience will also be considered.

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role.

In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [e-mail] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience.

Pay Ranges Arlington, Virginia: $161,000 - $266,000 USD

Mastercard benefits for full time (and certain part time) employees generally include:

• insurance (including medical, prescription drug, dental, vision, disability, life insurance)
• flexible spending account and health savings account
• paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
• 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
• 10 annual paid U.S. observed holidays
• 401k with a best-in-class company match
• deferred compensation for eligible roles
• fitness reimbursement or on-site fitness facilities
• eligibility for tuition reimbursement
• and many more

Mastercard benefits for interns generally include:

• 56 hours of Paid Sick and Safe Time
• jury duty leave
• on-site fitness facilities in some locations

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/17/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.