Senior Data Engineer

Job Summary

To support a critical CRM data architecture migration for a key client in the Life Sciences industry, the full-time Senior Data Engineer will work remotely, focusing on building and optimizing data ingestion pipelines from Salesforce Life Sciences Cloud to a Databricks data warehouse using AWS technologies.

Key responsibilities

• Architect, build, and deploy data integration pipelines connecting Salesforce Life Sciences Cloud to the Databricks warehouse environment
• Execute pipeline modifications to transition legacy data feeds from Veeva CRM to Salesforce Life Sciences Cloud, updating warehouse models accordingly
• Write clean, modular dbt transformation models and organize end-to-end DAG execution using Apache Airflow

Required qualifications

• 5+ years of hands-on data engineering experience with expertise in AWS, Databricks, dbt, and Apache Airflow
• Strong programming proficiency in Python/PySpark and Advanced SQL
• Proven experience architecting and executing migrations, specifically for CRM platforms like Salesforce and Veeva CRM
• Deep understanding of SDLC/Agile and DevOps for CI/CD and artifact management
• Certifications such as Databricks Certified Data Engineer Associate/Professional or major cloud certifications in AWS are preferred