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# iOS Mobile Architect & Tech Leader

- **Company:** Búsqueda Avanzada
- **Location:** Spain (Remote available)
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Code Review, Information Engineering, Extract Transform Load (ETL), Data Systems, Distributed Systems, Data Intelligence, Python (Programming Language), Software Engineering, Systems Integration, Reliability of Systems, Backend, Fastapi, Containerization, Data Pipelines, Docker, Databricks
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

This role requires deep technical expertise in backend engineering, data systems, and cloud architecture, combined with strong leadership and the ability to operate effectively in complex, evolving environments.
8+ years of software engineering experience, including at least 2+ years in Staff Engineer, Principal Engineer, Tech Lead, or Architect roles
Strong proficiency in Python, ideally with frameworks such as FastAPI or similar backend technologies
Proven experience designing and scaling distributed systems, backend architectures, and data-intensive platforms
Strong background in data engineering, including ETL pipelines, data processing workflows, and large-scale data systems
Hands-on experience with Databricks and modern data engineering ecosystems
Experience working with cloud platforms such as AWS, Azure, or GCP in production environments
Familiarity with containerization technologies such as Docker and modern deployment practices
Understanding of AI/LLM-based systems, agent architectures, or intelligent automation solutions
Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders
Ability to operate in ambiguous environments and translate high-level requirements into structured technical designs

## Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Architect / Tech Lead | NDA based in Spain.
This role sits at the intersection of architecture, data engineering, and AI-enabled product development within a greenfield initiative aimed at building a next-generation AI-powered Data Intelligence Platform. You will take a leading role in defining the technical foundation of a brand-new system designed to capture, structure, and scale organizational knowledge through intelligent agents and advanced data workflows. The environment is highly collaborative and fast-moving, bringing together engineering, product, and consulting expertise to solve complex enterprise challenges. You will operate as a key technical authority, shaping architecture decisions while remaining hands-on in implementation. This position offers significant influence over system design, engineering standards, and long-term technical direction. It is well-suited for someone who thrives in ambiguity and enjoys building scalable systems from the ground up.
Accountabilities
In this role, you will own the technical architecture and engineering direction of a new AI-driven data platform while actively contributing to implementation, system design, and technical leadership.
Define and own the end-to-end architecture for a new AI and data intelligence platform, ensuring scalability, maintainability, and performance
Design and implement backend services, data pipelines, and integration patterns across cloud-native environments
Provide technical leadership and hands-on guidance to engineers, ensuring high-quality execution and alignment with architectural vision
Review code, design proposals, and engineering outputs to maintain strong technical standards across the team
Collaborate with product stakeholders to translate business requirements into robust, scalable technical solutions
Build and evolve data platform components including ETL pipelines, data models, and AI-enabled workflows
Contribute directly to the development of complex features, especially around AI agents and system integration
Drive engineering best practices including testing, documentation, observability, and system reliability


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