Senior Data Solutions Architect - Stellantis

Key Responsibilities

• Architect and implement end‑to‑end data solutions on AWS, including data lakes, pipelines, and real‑time streaming platforms.
• Design scalable big‑data processing frameworks using Apache Spark and Kafka to ingest, transform, and serve vehicle telemetry and analytics data.
• Collaborate with product owners, data scientists, and engineering teams to translate business requirements into robust data models and APIs.
• Establish best practices for data security, governance, and performance optimization across the data ecosystem.
• Mentor junior engineers, conduct code reviews, and drive continuous improvement of data engineering standards.

Requirements

• 10+ years of experience in data architecture and engineering, with a strong focus on AWS cloud services (e.g., S3, Redshift, Glue, EMR).
• Proficiency in big‑data technologies such as Apache Spark, Kafka, and Hadoop ecosystems.
• Hands‑on programming skills in Python and SQL for data processing and analytics.
• Demonstrated ability to design secure, high‑performance data pipelines and data lake solutions at enterprise scale.
• Excellent communication and stakeholder‑management skills, with a track record of leading cross‑functional technical initiatives.