Data Platform Architect
hace 5 días
**Company Overview**
Roche Diabetes Care is a global leader in integrated Personalized Diabetes Management (iPDM). We collaborate with pioneers around the globe, including people with diabetes, caregivers, healthcare professionals, and payers. Our goal is to transform and advance care provision and foster sustainable care structures.
Job Description
We are seeking an experienced Technical Lead in the Data Engineering domain. As a key member of our team, you will be responsible for designing and implementing the data and analytics platform, making data accessible for multiple purposes.
Your main mission will be to lead the design and implementation of the data & analytics architecture ensuring compliance, quality and a sustainable growth of the platform. You will build scalable data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements.
You will provide the technology, tools and data to support data scientists and analysts in R&D, One Medical and Commercial teams. Additionally, you will manage the technical backlog on the Data & Analytics Platform, ensure the data quality by implementing and monitoring a data quality framework together with the data source teams.
Other responsibilities include working with data infrastructure to triage infrastructure issues and drive to resolution, collaborating with cross-functional stakeholders to understand their business needs and formulating and completing end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
Required Skills and Qualifications
To be successful in this role, you will need:
- Bachelor's degree in Computer Science or related field
- 8+ years of relevant experience as a Data Engineer, building Data Platforms, Datalakes and Business Intelligence solutions
- Proficiency in implementing data pipelines (using Pyspark, Spark SQL, Scala), orchestration tools / services (Airflow, data factory) and testing frameworks
- Experience with Software Engineering best practices, such as unit testing and integration testing, and software development tools, such as Intellij, Maven, Git, Docker among others
- Experience in one of the main cloud services (AWS, Google Cloud or Azure) with Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, etc)
Estimated Salary Range
$150,000 - $200,000 per year, depending on location and experience.
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