Scala Data Engineering Architect

As a Scala Data Engineering Architect at Publicis Sapient, you will lead the design and implementation of modern, cloud-native data platforms that power large-scale digital transformation. This role combines hands-on coding and architecture and team leadership, enabling organizations to unlock the full potential of their data using AWS and Scala-based technologies.

Your Impact

• Design, develop, and maintain robust, scalable data pipelines using Scala and Apache Spark.
• Build and optimize data architectures on AWS (e.g., S3, Glue, EMR, Redshift, Lambda).
• Collaborate with data scientists, analysts, and product teams to understand data needs and deliver high-quality solutions.
• Ensure data quality, integrity, and security across all pipelines and storage layers.
• Implement monitoring, logging, and alerting for data workflows.
• Participate in code reviews, architecture discussions, and continuous improvement initiatives.

• Review solution designs to ensure adherence to engineering best practices and standards.

• Support project estimation and contribute to delivery plans and technical roadmaps.

• Collaborate with business and technical stakeholders to align data strategies with organizational goals.

• Oversee the performance, observability, and automation of data platforms in production environments.

• Drive continuous improvements in platform health, data quality, and operational efficiency.

Your Skills & Experience

• 8+ years of experience in data engineering or a related field.
• Proficiency in Scala and experience with distributed data processing frameworks (e.g., Apache Spark).
• Strong hands-on experience with AWS cloud services for data engineering.
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
• Excellent problem-solving skills and attention to detail.
• Deep understanding of data modeling, data warehousing, and stream/batch data processing frameworks (e.g., Apache Spark).

• Familiarity with infrastructure-as-code and CI/CD for data pipelines (e.g., Terraform, Git, Jenkins).

• Strong communication skills and stakeholder engagement experience in client-facing environments.

Set Yourself Apart With

• Experience implementing DataOps and DevOps practices in cloud data environments.

• Exposure to multi-cloud or hybrid cloud architectures (AWS, GCP, Azure).

• Knowledge of observability, logging, and performance optimization strategies for data platforms.

This full-time position is open to contractor arrangements in Colombia, Mexico, Costa Rica, and Brazil, and to permanent employment in Colombia, Mexico, and Costa Rica.