# Lead Cloud Engineer

**Company**: Mastercard
**Location**: Lisbon
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Lisbon-Portugal/Lead-Cloud-Engineer_R-291290?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9637e47f-6ae

## Description

We are seeking a Lead Cloud Engineer to join our Marketing Services Technology team. As a Lead Cloud Engineer, you will design and deliver scalable, secure, and high-performing data solutions that support advanced analytics, machine learning, and business growth at global scale.

Responsibilities:

- 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.

Requirements:

- 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.

## Skills

### Required
- Big Data
- Cloud Computing
- AWS
- Databricks
- Apache Spark
- Python
- Java
- Scala
- Terraform
- CI/CD

### Nice to have
- Databricks on AWS
- Apache Kafka
- Flink
- Machine Learning
- MLOps
- AI-driven data platforms
- AWS and/or Databricks certifications
- FinOps
- cloud cost optimization practices

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Lisbon-Portugal/Lead-Cloud-Engineer_R-291290?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)