Senior Data Engineer

SOPHiA GENETICS (NASDAQ: SOPH) combines Data-Driven Medicine, Genomics and Radiomics, to ensure that the data used to help patients today will also benefit the patients of tomorrow. To help us achieve our ambitious mission, we are now searching for a Senior Data Engineer with Big Data experience to join our team in Rolle, Switzerland.

Why us:

We believe there is a smarter, more data-driven way to make decisions in healthcare and our AI SaaS Platform enables that. Our platform is a one-of-a-kind globally distributed information system that brings together hospitals and labs to provide data ingestion and processing, analysis and modeling, reporting and intelligence, distribution and sharing of a multitude of complex sources of structured and unstructured data, including genomics, imaging, and clinical data, delivered as a multi-tenant SaaS platform on the cloud. 

As a Senior Data Engineer, you will be part of a team of engineers focused on developing and maintaining our core internal data platform and microservices connecting it to all corners of our business. 

Your mission:

Reporting directly to the Head of Data, the Senior Data Engineer will be responsible for the development of the core data platform, its evolution, as well as designing individual components and services, while collaborating daily with senior technical staff. You will have the opportunity to recommend and drive new initiatives and support our fast-growing organization.

The value add:

• You will have a key role in the development and evolution of our next-gen multimodal data platform, aided by your manager and your team members. This will include design, implementation, testing, documentation, deployment, maintenance and support of the services and other projects owned by your team.
• You will be responsible for designing and building of individual components and services, as well as contributing to the overall platform architecture. You will collaborate daily with senior technical staff in- and outside of the team
• You will be expected to participate in Level 3 Support activities.
• You will actively participate in code and design reviews with other members of the team 
• As needed for your projects, you will participate in estimations and risk assessments, and exchange with stakeholders in Product and Project Management and other departments.
• You will participate in the team’s processes and recurring activities while helping to organize them. You will share your knowledge of best practices in the team and mentor junior team members.

You have demonstrated experience in developing reliable and performant data platforms and services while having a firm grasp on the underlying challenges of releasing a distributed data and software solution to production. You have a basic understanding of the domain of genomics and digital healthcare and care for the impact you can have in this field. You know modern data and software engineering processes, have good knowledge of tools, technologies, and best practices. You seek to exchange regularly and communicate effectively with other members of your team. 

The experience you bring:

• Master’s degree in Computer Science or Engineering or equivalent professional experience
• At least 4-6 years of experience working with distributed data, data lakes, microservice-oriented architectures, and APIs, ideally in the healthcare field. 
• Expertise with Python ETLs in a data processing environment, ideally Databricks
• Expertise with distributed big data architectures (schemas, transfers, storage, partitioning, performance monitoring and optimization)
• Solid knowledge of modern scalable database and data lake technologies, especially Spark & SQL
• Experience with containerization and orchestration technologies, as well as basic DevOps processes and tooling
• Experience with software engineering best-practices, Agile, CI/CD, Unit & integration testing
• Good interpersonal and communication skills with a growth mindset
• Tooling: Azure data services ecosystem, Databricks & Unity Catalog, Terraform, Gitlab
• Experience with multimodal data spanning of digital healthcare, clinical, radiomics and genomics (is a plus)
• Excellent level of English, French is a plus