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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cloud Engineer - **Company:** Mastercard - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $115,000.0 - $184,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Application Frameworks, Big Data, Cloud Database, Cloud Engineering, Cyber Security, Information Systems, Continuous Integration, Data Architecture, Data Governance, Data Systems, Distributed Computing Environment, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Query Optimization, Cloudera, Software Engineering, Data Streaming, Unstructured Data, Data Ingestion, Apache Spark, Data Strategy, Containerization, Data Lakes, Information Technology, Apache Flink, Apache Kafka, Data Management, Machine Learning Operations, Video Streaming, Terraform, Data Pipelines, Databricks - **Published:** August 20, 2026 - **Apply:** https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/Atlanta-Georgia/Senior-Cloud-Engineer_R-287450 ## About the Role * Strong hands-on experience with Big Data technologies including Hadoop, HDFS, Hive, Spark, and related distributed computing frameworks. * Deep expertise in cloud data engineering on AWS, including storage, compute, networking, security, and scalable data architectures. * Experience designing and developing modern data solutions using Databricks, Spark, Delta Lake, and cloud-native technologies. * Proficiency in Python, Java, or Scala, building large-scale distributed data processing applications. * Experience building robust batch and streaming pipelines supporting high-volume and high-velocity workloads. * Understanding of modern Lakehouse architecture principles and open-table formats such as Apache Iceberg and Delta Lake. * Skilled in data modelling, schema design, partitioning strategies, query optimization, and performance tuning. * Familiarity with enterprise-scale data governance, security, privacy, and compliance, working with structured and unstructured datasets at scale. * Experience with Infrastructure-as-Code (e.g., Terraform), modern CI/CD, and cloud-native monitoring and observability practices. * Strong analytical and problem-solving skills, a passion for automation, and the ability to assess emerging technologies and recommend scalable, cost-effective solutions. * Excellent communication and collaboration across technical and business teams; comfortable in Agile/Scrum environments managing multiple priorities. * BS/MS degree in Computer Science, Software Engineering, Information Systems, or a related field. Preferred Qualifications: * Experience with Databricks on AWS in enterprise production environments. * Experience migrating workloads from Hadoop or Cloudera ecosystems to modern cloud architectures. * Hands-on experience with Apache Kafka, Flink, or other event-streaming technologies. * Experience supporting Machine Learning, MLOps, or AI-driven data platforms. * AWS and/or Databricks certifications. * Familiarity with FinOps and cloud cost optimization practices. * Experience working with petabyte-scale data environments. ## Description * Design, develop, and support large-scale cloud-native data solutions on AWS and Databricks. * Build and maintain batch, streaming, and real-time data pipelines supporting analytics, reporting, machine learning, and AI workloads. * Engineer scalable distributed data processing systems using Apache Spark and related Big Data technologies. * Design and implement modern Lakehouse architectures leveraging Databricks, Delta Lake, and Apache Iceberg. * Lead modernization initiatives migrating data workloads from Hadoop-based platforms to cloud-native architectures. * Develop reusable frameworks and engineering patterns that improve scalability, reliability, and operational efficiency. * Partner with Architects, Product Managers, Data Scientists, and Software Engineers to define and implement cloud data solutions. * Evaluate technologies and approaches for data ingestion, transformation, storage, governance, and consumption. * Implement best practices around security, governance, performance optimization, observability, and cost management. * Drive automation using Infrastructure-as-Code, CI/CD pipelines, and modern software engineering practices. * Contribute to the evolution of Marketing Services' cloud and data strategy while enabling future AI and machine learning capabilities., 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 - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [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) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)