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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Principal, Data Engineering - **Company:** Mastercard - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $244,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Systems Engineering, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Cloud Computing Security, Cyber Security, Information Engineering, Data Governance, Extract Transform Load (ETL), Dataspaces, Data Warehousing, Software Design Patterns, DevOps, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), Network Security, Meta-Data Management, Windows PowerShell, Azure Data Lake, Software Engineering, Data Logging, Scripting, Grafana, Apache Spark, Multi-Cloud, Cloudformation, Data Lakes, Pyspark, Gitlab-ci, Kubernetes, Information Technology, Collibra, Performance Monitor, Bicep, Data Management, Functional Programming, Cloud Optimization, Cloudwatch, Software Coding, Terraform, Data Pipelines, Docker, Databricks - **Published:** August 9, 2026 - **Apply:** https://www.wayup.com/i-j-Senior-Principal-Data-Engineering-Mastercard-873636376136128/ ## About the Role * Hands-on experience with AWS services including S3, EC2, Lambda, Glue, Redshift, EMR, Athena, and Lake Formation. * Hands-on experience with Azure services including Data Factory, Synapse, Fabric, Azure Data Lake, and related technologies. * Strong software engineering background with experience building production-grade cloud-native solutions. * Expertise implementing Infrastructure-as-Code and CI/CD pipelines using Terraform, CloudFormation, Bicep/ARM, Azure DevOps, GitLab CI/CD, or similar tools. * Strong understanding of cloud security architecture, IAM, encryption, governance, and compliance frameworks. * Extensive experience with Spark, PySpark, distributed data processing, and large-scale data engineering systems. * Proficiency in Python and scripting languages such as Bash or PowerShell. * Demonstrated success delivering production-scale Medallion Lakehouse architectures. * Experience with containerization and orchestration technologies including Docker, Kubernetes, ECS, and AKS. * Strong knowledge of observability, monitoring, and logging platforms such as CloudWatch, Azure Monitor, ELK, or Grafana. * Experience implementing cloud cost optimization and FinOps best practices. * Proven ability to influence technical direction, drive consensus, and deliver outcomes across cross-functional teams without direct authority. * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. ## Description As a senior technical leader, you will be responsible for designing, building, and optimizing enterprise-scale data platforms across AWS and Azure. You will define architectural standards, champion engineering best practices, and lead the implementation of cloud-native data solutions that support Mastercard's growing data ecosystem. While this role requires strong technical leadership and the ability to influence across teams, it does not include direct people management responsibilities. The ideal candidate is a builder at heart, someone who enjoys writing code, solving complex engineering challenges, driving platform modernization initiatives, and partnering with globally distributed engineering teams to deliver measurable business impact. If you thrive in a fast-paced environment and are passionate about creating scalable, secure, and future-ready data platforms, this role is for you. Role: * Design and architect end-to-end cloud-native data platform solutions, including modern lakehouse architectures leveraging AWS (S3) and Azure (Data Lake) with Databricks and related ecosystem tools. * Lead by doing through hands-on development of DevOps capabilities, including CI/CD pipelines, Infrastructure-as-Code, and automated environment provisioning across multi-cloud platforms. * Define and enforce cloud security architecture standards, including IAM design, encryption strategies, network security, and regulatory compliance (e.g., GDPR, HIPAA). * Establish enterprise-grade data governance frameworks covering data cataloging, lineage, classification, and access control using tools such as AWS Lake Formation and Azure Purview. * Architect and deliver scalable data engineering solutions, including ETL/ELT pipelines, data lakes, and data warehouse systems supporting analytics and reporting use cases. * Implement and evolve Medallion Lakehouse architectures (Bronze, Silver, Gold) leveraging AWS services (Glue, Lake Formation) and analytics engines such as Databricks, EMR, and Athena. * Translate complex business requirements into scalable, secure, and maintainable technical solutions in partnership with product, engineering, and analytics stakeholders. * Provide hands-on technical leadership by mentoring engineers and DevOps practitioners, promoting engineering excellence, ownership, and continuous improvement. * Drive operational excellence through proactive monitoring, troubleshooting, and optimization of data platforms for performance, scalability, reliability, and cost efficiency. * Define and document architectural standards, design patterns, and operational best practices to enable consistency and scalability across teams. * Evaluate emerging technologies and industry trends in cloud, data, and DevOps to ensure the platform remains modern, efficient, and future-ready. * Actively participate in architecture reviews, technical design discussions, Agile ceremonies, and iterative planning and estimation sessions while influencing cross-team technical direction. All About You: * Deep expertise designing, building, and operating enterprise-scale cloud and data platforms., 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. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)