Solution Architect for Analytics

Roche
Barcelona, Spain
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Barcelona, Spain

Tech stack

Agile Methodologies
Amazon Web Services (AWS)
Data analysis
Computer Engineering
Continuous Integration
Data Cleansing
Data Governance
ETL
Data Security
Data Warehousing
Distributed Systems
Python
Machine Learning
Software Systems
Fast Healthcare Interoperability Resources
Large Language Models
Jupyter
Data Lake
Information Technology
Data Analytics
Health Level Seven International
Machine Learning Operations
Data Pipelines

Requirements

Role Purpose The Software Architect for Analytics will be a key team leader applying extensive knowledge of design principles and practices in the creation of complex, enterprise-scale software systems for analytics. General responsibilities include design concept generation, leading design reviews, development and testing of the product stack. This role is hands-on and entails leading the architecture and roadmap for the data analytics modules of the data platform. You will also collaborate with the wider Roche digital product community to influence innovative solutions that enable the products to work together to better impact patient outcomes.* Educational Background: BS in computer science, computer engineering, electrical engineering, or a related discipline. Master's degree preferred.* Experience: Proven expertise in leading and mentoring principal software/data engineers and other junior engineers.* 10/15+ years of hands-on coding experience (or equivalent).* Strong understanding of distributed computing principles and data pipeline architecture.* Extensive experience in architecting and developing large-scale designs.* Extensive experience Understanding of key analytics workflows, including data cleaning, ETL (extract-transform-load) processes, and processing large-scale datasets.* Proficiency in Data Modeling, Capacity Planning, and Engineering best practices such as TDD, CI/CD.* Knowledge of data governance, data quality, and data security best practices* Familiarity with tools used by data scientists (e.g., Jupyter, Python, or R) and machine learning pipelines (e.g., MLflow, Kubeflow).* Expertise in enabling LLMs to work seamlessly with existing healthcare analytics infrastructure (e.g., integration with ETL pipelines, data warehouses, and data lakes).* Solid experience in Agile methodologies for both delivery and operations* Skilled in AWS Cloud technologies for data and analytics* Master in CS, Engineering (preferred)* Experience in Healthcare tech, standards, and workflows (e.g. HL7, FHIR)* Experience with QMS for FDA-regulated products #J-18808-Ljbffr

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