Solution Architect

Craftware is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions – from sales systems and automation to data platforms and AI. We operate where technology must be reliable, secure, and scalable. We deliver end-to-end projects: from analysis and architecture through implementation to development and maintenance. We are a trusted partner of industry leaders such as Salesforce, Veeva, UiPath, and Databricks. Model: remote Employment type: full-time We are looking for an experienced Solution Architect to lead the architecture and technical vision of enterprise-grade Biosample Management and data-driven platforms supporting life sciences R&D. This role combines deep technical expertise, strong data architecture capabilities, and the ability to align business needs with scalable, secure, and compliant solutions. Responsibilities: • Define and own end-to-end solution architecture for Biosample Management and related data products. • Translate business and regulatory requirements into scalable, secure, and high-performing technical designs. • Design data architecture aligned with FAIR principles, Data Mesh concepts, and modern integration patterns (APIs, event-driven, ETL/ELT). • Architect AI-enabled data products, including responsible integration of LLMs and generative AI components. • Ensure compliance with regulatory standards (e.g., GxP, FDA 21 CFR Part 11, GDPR-related principles). • Lead architectural decisions, produce key design documentation (SAD, ADRs, NFRs, SDD), and conduct architecture reviews. • Collaborate closely with Product Management, Engineering, DevOps, and enterprise architects to align roadmap and technical strategy. • Oversee integration with enterprise ecosystems and external vendors. Requirements: • 5+ years of experience as a Solution Architect, Technical Lead, or similar role in enterprise software development. • Strong experience in designing scalable, cloud-based architectures and large-scale data platforms. • Proven expertise in data modeling (SQL/NoSQL) and schema optimization (Snowflake, Oracle, MongoDB). • Experience with ETL/ELT pipelines and large-scale data processing. • Solid understanding of architecture patterns (ETL/ELT/noETL, event-driven, graph-based approaches). • Hands-on experience with: • Python (backend development & data processing) • Kubernetes and containerized environments • REST-based integrations and distributed systems • Experience with cloud platforms (AWS/Azure/GCP). • Practical experience leveraging AI in data product development. • Strong communication skills and ability to work with both technical and business stakeholders. Nice to have: • Experience in Life Sciences, Biosample Management, LIMS, or Clinical Trial systems. • Knowledge of regulatory and compliance frameworks in life sciences. • Familiarity with tools such as Airflow, Spark, Kafka, Snowflake, ElasticSearch. • Experience with Semantic Web / Linked Data concepts. • Understanding of scientific data provenance and metadata management. Employment conditions: • B2B contract, • Daily support from team leaders, • Dedicated certification budget, • Assistance in defining and support in your development path, • Benefits package, • Integration trips/events.