Technical Lead & Data Architect

We are looking for a hands-on Technical Lead & Data Architect for two biopharma data products: a live .NET platform and a React / Node.js product in development. This role combines technical leadership and data architecture: you will own the architecture of the company’s digital platforms (data products, content systems, client-facing interfaces) and take over responsibilities from the current in-house data architect. The most critical part of the system is the database: its management, data quality, security, and governance. The role is 50% strategy and 50% execution, so you will act as the first engineer: setting the technical direction, managing external development partners, and personally building critical foundations. The stack includes .NET / C#, React, Node.js, and Azure (incl. Azure DevOps). The environment is remote-first and low-structure, with direct collaboration with Product, IT, and Business Intelligence. Full-time, start in mid-November 2026. Responsibilities - Run the knowledge handover from the current team and vendor in the first 4 weeks: code, architecture, infrastructure, security, and documentation; - Own the technology roadmap and align it with business and product strategy; - Define and maintain the target architecture for data, content, and client-facing platforms; - Take ownership of data architecture (the most critical part of the platform): database design and management, data models, integrations, data flows, and governance; - Ensure architectural consistency, scalability, security, and reusability across all systems; - Lead the integration of acquired companies and new products into the technology stack; - Manage external development partners: own the technical brief, control delivery quality, and oversee implementation spend; - Deliver hands-on: architectural foundations, CI/CD and environments (Dev / Test / UAT / Prod), technical spikes, and critical path items; - Take prototypes built with no-code / AI tools (e.g. Replit) to scalable, production-ready products; - Advise on feasibility of new features and translate business priorities into technical decisions; - Identify and apply AI and automation opportunities where they bring efficiency or insight; - Ensure compliance with cybersecurity and data governance standards (secure SDLC, audit and penetration-test readiness, GDPR); - Mentor engineers, provide feedback to direct reports, help define the future team setup (developers, QA, Product Owner), and build engineering capability as the team grows. Requirements - 8+ years in software engineering, including 2+ years in architecture or engineering leadership roles (Solution / Platform / Data Architect, Tech Lead, or similar); - Proven experience in platform and architecture leadership in a scaling, product-led company; - Strong data architecture expertise: database design, administration, and performance tuning, data modelling, integration patterns, data platforms, and data governance; - Hands-on experience with the Azure ecosystem, including Entra ID (SSO, access control) and Azure data services; - Strong understanding of API-first design and integration of complex systems; - Hands-on coding ability, in .NET / C# and React / Node.js (strong in at least one, good working knowledge of the other); - Track record of delivering complex technical platforms and managing external vendors; - Experience taking no-code or low-code prototypes to scalable products; - Practical understanding of AI and automation tools and their application in enterprise architecture; - Strategic mindset combined with hands-on problem-solving and attention to detail; - Strong communication and stakeholder management skills, with the ability to influence and negotiate; - Comfortable working autonomously in a low-structure, remote-first environment; - Fluent English (C1 or higher); - Ability to travel internationally for individual client meetings. Nice to have - Experience integrating acquisitions or supporting due diligence and equity events; - Background in life sciences, biopharma, or other regulated industries; - Experience with BI tools and close collaboration with BI teams; - Experience building an engineering team from scratch. We offer - AI-first engineering culture with clear guidelines for safe, effective AI usage in production; - Competitive compensation based on your skills, experience, and performance; - Certification exam costs covered on a successful pass (cloud and AI certifications prioritized); - 20 working days of annual paid vacation and 5 days of sick leave; - 3 additional days off for special occasions; - Experienced colleagues with 95% of middle and senior engineers; - Possibility to work from anywhere in the world; - Exciting projects involving the newest technologies; - Accounting as a service; - Flexible working approach. Відгукнутись на вакансію