Senior Principal, Data Platforms
Location: Purchase
Posted on: June 23, 2025
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Job Description:
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. 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 The
Mastercard Services Technology team is looking for Senior Principal
of Data Platforms & Engineering, to drive our mission to unlock
potential of data assets by consistently innovating, eliminating
friction in how we manage big data assets, store those assets,
accessibility of data and, enforce standards and principles in the
Big Data space both on public cloud and on-premises set up. This is
a high-impact role where the person will be responsible for driving
the design and implementation of modern, scalable, and secure data
platforms across AWS and Azure. The scope of the role includes
establishing platform strategy, enforcing governance, defining and
propagating best practices across Data Platforms. The role will
also involve collaborating with cross-geography teams of data
engineers and platform engineers. We’re not just looking for an
architect—we want a builder, mentor, and leader who thrives in
fast-paced environments and takes pride in delivering real,
measurable value. If you enjoy rolling up your sleeves while
shaping long-term strategy, this role is for you. Role • Design and
architect end-to-end cloud-native solutions with a focus on modern
data platforms, including lakehouse architectures leveraging S3,
Azure Data Lake, Databricks, and related tools. • Lead by doing –
drive DevOps initiatives including CI/CD pipeline creation,
infrastructure-as-code implementation, and automated environment
provisioning across multi-cloud environments. • Set and enforce
cloud security best practices, including IAM, encryption, network
security, and regulatory compliance (e.g., GDPR, HIPAA). •
Establish and enforce enterprise-grade data governance frameworks,
including data cataloging, lineage, classification, and access
control, leveraging tools like Lake Formation or Azure Purview. •
Design and lead implementation of robust data engineering
pipelines, including ETL/ELT, data lakes, and data warehouses. •
Implement Lakehouse architectures using the medallion model
(Bronze, Silver, Gold) with deep integration into AWS services
(Glue, Lake Formation) and analytics engines (Databricks, EMR,
Athena). • Translate business requirements into scalable technical
solutions, working closely with product, engineering, and data
stakeholders. • Mentor and guide engineers and DevOps teams,
fostering a culture of technical excellence, ownership, and
continuous improvement. • Continuously monitor, troubleshoot, and
optimize infrastructure and data workflows for performance,
reliability, scalability, and cost efficiency. • Document
architecture decisions and operational standards and help establish
technical best practices across teams. • Stay ahead of emerging
technologies and trends in cloud, data, and DevOps to keep our
platform future ready. • Participate in architectural discussions,
iteration planning, and feature sizing meetings • Adhere to Agile
processes and participate actively in agile ceremonies •
Stakeholder management skills All About You • Bachelor’s degree in
computer science, Engineering, or related field (or equivalent
experience). • 10 years of experience in cloud and data platform
architecture, DevOps, or related technical roles. • Proven hands-on
expertise with AWS and Azure services including S3, EC2, Lambda,
Glue, Redshift, Lake Formation, Azure Data Factory, Fabric,
Synapse, and Databricks. • Strong track record of building DevOps
pipelines and infrastructure-as-code using Terraform,
CloudFormation, ARM templates, Azure DevOps, or GitLab CI/CD. •
Solid understanding of cloud security concepts, IAM design, data
encryption, and governance frameworks. • Experience with data
engineering frameworks such as Spark, PySpark, and large-scale ETL
systems. • Proficiency in scripting and automation using Python,
Bash, or PowerShell. • Demonstrated success in architecting and
delivering medallion architecture solutions in a production
environment. • Excellent problem-solving, decision-making, and
communication skills. • Proven leadership experience, with the
ability to guide cross-functional teams, influence stakeholders,
and drive outcomes. • Experience with containerization and
orchestration tools (e.g., Docker, Kubernetes, ECS, AKS) will be
plus. • Familiarity with data governance tools such as AWS Lake
Formation or Azure Purview. • Knowledge of observability and
logging stacks (e.g., CloudWatch, Azure Monitor, ELK). • Experience
with cloud cost optimization strategies and financial management.
Exposure to MLOps workflows and integration with machine learning
pipelines.
Keywords: , Hamilton , Senior Principal, Data Platforms, IT / Software / Systems , Purchase, New Jersey