Principal Data Engineer

Experteer Overview As Principal Data Engineer at Roche, you will steer GenAI and advanced analytics strategy, shaping data architectures and scalable pipelines for diagnostic products.You lead technically while aligning with product and system architects to deliver high-impact, cost-efficient data initiatives.You will mentor teams, improve data governance and ensure compliant, secure data practices in a healthcare context.This role combines hands-on engineering with strategic leadership to advance Roche’s data-driven mission.Compensaciones / Beneficios * Define and drive the future strategy for GenAI and emerging technologies in diagnostic data analytics * Design, implement, and optimize data architectures using AWS services for performance and integration * Build and optimize data processing workflows with PySpark, SparkSQL, SQL, Iceberg, Parquet * Improve data infrastructure performance, scalability, and cost efficiency on AWS * Provide technical direction and mentorship, enforcing code quality and CI/CD * Collaborate with engineering and business stakeholders to translate requirements into data-driven solutions * Advocate for data security, governance, and regulatory compliance (HIPAA, GDPR) Responsabilidades * 5+ years of hands-on data engineering with leadership in technical projects * Expert-level AWS (S3, Redshift, Glue, Athena, EMR, Step Functions, MWAA) * Mastery of Python, SQL, and Spark * Experience with Dimensional Modeling, Data Partitioning, Terraform (IaC) * Ability to provide technical direction, architecture guidance, and cross-functional mentoring * Strong communication skills in English; Spanish is a plus * Bachelor’s or Master’s degree in Engineering Requisitos principales *

Compensaciones / Beneficios * Define and drive the future strategy for GenAI and emerging technologies in diagnostic data analytics * Design, implement, and optimize data architectures using AWS services for performance and integration * Build and optimize data processing workflows with PySpark, SparkSQL, SQL, Iceberg, Parquet * Improve data infrastructure performance, scalability, and cost efficiency on AWS * Provide technical direction and mentorship, enforcing code quality and CI/CD * Collaborate with engineering and business stakeholders to translate requirements into data-driven solutions * Advocate for data security, governance, and regulatory compliance (HIPAA, GDPR) Responsabilidades * 5+ years of hands-on data engineering with leadership in technical projects * Expert-level AWS (S3, Redshift, Glue, Athena, EMR, Step Functions, MWAA) * Mastery of Python, SQL, and Spark * Experience with Dimensional Modeling, Data Partitioning, Terraform (IaC) * Ability to provide technical direction, architecture guidance, and cross-functional mentoring * Strong communication skills in English; Spanish is a plus * Bachelor’s or Master’s degree in Engineering Requisitos principales *