Principal Software/Data Engineer

Salary: CHF 100'0 - 130'000 per year Requirements: You have a Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related technical field You have a minimum of 8 years of experience in software engineering, including leading architecture or infrastructure efforts for data‑centric or ML‑powered applications; or an advanced degree with 6 years of equivalent work experience You have 4+ years of experience with relational and non‑relational database systems (e.g., PostgreSQL, Redshift, MongoDB, S3) You have 4+ years of experience building and optimizing data pipelines using tools such as DVC, Pandas, Airflow You have strong proficiency in front‑end frameworks (e.g., React, Angular) and back‑end API development You have hands-on experience with cloud services (AWS, GCP, or Azure) and infrastructure as code (e.g., Terraform) You have strong experience managing CI/CD workflows, version control, and security protocols in production environments You have proven ability to lead technically complex initiatives and balance long-term architecture with near-term delivery You have capacity for independent thinking and ability to make decisions based upon sound principles You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond technical domain You demonstrate respect for cultural differences when interacting with colleagues in the global workplace You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language Preferred experience in pharmaceutical, healthcare, or regulated industries Deep familiarity with cloud-native development using AWS Knowledge of privacy and compliance frameworks (e.g., HIPAA, GxP) Experience with containerization/orchestration (Docker, Kubernetes) Exposure to data visualization tools such as Dash, Streamlit, or Power BI Understanding of the clinical development lifecycle and scientific workflows Demonstrated mentoring and technical leadership within agile teams High degree of strategic agility and problem-solving; capable of navigating complexity with precision Responsibilities: You design and implement robust, secure, and scalable software architectures that support data- and ML-driven products You build front-end interfaces using modern frameworks (e.g., React, Vue) to enable intuitive user interactions with complex data outputs You develop and maintain back-end APIs and data pipelines that integrate models and data into production-grade environments You write simple, elegant, well-structured, and well-tested applications, software, and/or code that drive new features and improvements across all our products and services in adherence with regulatory compliance You collaborate with UX designers, data scientists, and product managers to align on user needs and translate them into technical solutions You monitor and optimize the performance, reliability, and maintainability of deployed software systems You enable reproducibility and development efficiency by implementing standardized logging, version control, and configuration management, while contributing to internal knowledge sharing and reusable code libraries You partner with IT teams to manage CI/CD pipelines, cloud infrastructure, and security protocols You participate in agile ceremonies (e.g., sprint planning, reviews, retrospectives) and contribute to backlog refinement and prioritization You apply a product-thinking mindset to balance technical trade-offs with user impact and business value You develop tools and dashboards for monitoring data flows, system health, and model performance You keep up to date with emerging technologies in software, cloud, and data engineering to continuously improve practices You support early pilots, MVPs, and scaled implementations across therapeutic areas by ensuring smooth deployment of experiments and applications in cloud and custom PaaS environments You embrace a collaborative culture of continuous learning, experimentation, and feedback Technologies: Airflow API AWS Redshift Angular Azure CI/CD Cloud Docker GCP Support Kubernetes MongoDB PaaS PostgreSQL Power BI React Security Terraform Vue pandas UX UI Design More: At Solstice Analytics, we encourage personal expression, open dialogue, and genuine connections, and we want every voice to matter. This role is based in our Innovation Accelerator team, which serves as the innovation engine and connective tissue for Design, Data, and Data Science innovation strategy within Product Development Data Sciences. We translate our long-term vision into actionable strategy, shape and prioritize cross-functional use cases across PDD, PD, and Pharma, and explore, prototype, and help productize solutions in close partnership with internal teams and external collaborators. We offer a collaborative culture of continuous learning, experimentation, and feed