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.