Manager, Data and Analytics Services
Core
Design and implement highly performant data ingestion and transformation pipelines, scalable data platforms, and enterprise reporting solutions for healthcare diagnostics and drug development.
Role type
Manager, Data Engineering & Analytics
Builds
Cloud-based data platforms, ETL/ELT pipelines, curated datasets, semantic layers, and executive dashboards
Domain
Healthcare diagnostics, Life Sciences, Pharma
Required skills
PySpark, Python, SQL, Snowflake, Databricks, ETL/ELT design, Cloud-native data platforms, Data Warehousing, Data Governance, AI-assisted development tools, Orchestration (Airflow/Matillion), CI/CD (Jenkins/Terraform/Docker/Kubernetes), Streaming technologies (Kafka/Spark)
Preferred skills
Healthcare/Diagnostics/Life Sciences/Pharma industry experience
Technologies
Snowflake, Databricks, AWS, PySpark, Python, Spark, SQL, Power BI, Tableau, Airflow, Matillion, Jenkins, Terraform, Docker, GitHub, Kubernetes, Kafka, Hadoop, Parquet, Avro, JSON, XML
Responsibilities
Mentor junior engineers and promote engineering best practices; Design and implement data ingestion/transformation pipelines; Develop scalable data engineering frameworks; Integrate end-to-end data pipelines ensuring quality and governance; Design modern cloud-based data platforms; Collaborate with stakeholders to translate requirements into scalable solutions; Design curated datasets and semantic layers for self-service analytics; Support development of executive dashboards and BI solutions; Evaluate emerging technologies and AI tools to improve productivity; Participate in code reviews and architecture discussions.
Seniority
Manager, hands-on IC with team leadership