Mgr Data Engineering
Core
Designing, building, and optimizing scalable data pipelines and platforms to support data strategy and drive reliability, cost-efficiency, and integrity.
Role type
Senior Data Engineer (Platform & Strategy)
Builds
Scalable data solutions, data pipelines, and cloud-based data platforms
Domain
Biotechnology / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud platform architecture (AWS/Azure/GCP), Python, PySpark, SQL, Big Data ETL performance tuning, Data platform administration (Databricks, Snowflake), Cloud troubleshooting (networking, VMs)
Preferred skills
Data modeling (OLAP/OLTP), Cloud resource lifecycle management, Apache Spark, Apache Airflow, CI/CD pipelines, Automated unit testing, DevOps practices
Technologies
AWS, Azure, GCP, Databricks, Snowflake, Python, PySpark, SQL, Apache Spark, Apache Airflow, Jenkins, Maven, Git, Subversion
Responsibilities
Design and implement automations for data and cloud platform monitoring; Manage platform scope, timelines, and risks; Ensure data quality through testing and monitoring; Build scalable data solutions on cloud platforms; Collaborate with analysts, scientists, and stakeholders; Resolve complex data challenges; Execute POCs for new technologies
Seniority
Senior, hands-on IC with mentorship responsibilities
