Lead Data Solution Architect

GFT is a pioneering company in digital transformation. We design business solutions centered on artificial intelligence (AI-Centric), modernize IT infrastructures, and develop next-generation core systems for leaders in the banking, insurance, and industrial sectors. In close collaboration with our clients, we push boundaries to help them reach their full potential.

Currently, we have a vacancy for a Lead Data Solution Architect who wants to join our company. We are looking for a person with a solid track record in data science, capable of leading teams or designing analytical strategies and guiding the implementation of advanced solutions for our Center of Excellence (CoE) AI.DA.

Your main responsibilities will be

Although they will depend on your experience and knowledge, your main duties will include:

• Design, implement, and evolve the organization's data architecture, ensuring that data ingestion, processing, storage, and consumption systems are scalable, secure

and efficient.

• Designing and maintaining reference architectures for data platforms in batch and streaming environments.

• Defining data ingestion strategies (CDC, APIs, streaming), storage (Data Lake, Data Warehouse, Lakehouse), and orchestration.

• Leading the adoption of data integration patterns and frameworks such as ETL/ELT, Data Mesh, and Event-Driven architectures.

• Ensuring data quality, integrity, availability, and traceability throughout its entire lifecycle.

• Overseeing security, governance, and regulatory compliance aspects (GDPR, cataloging, access control, and data quality).

• Evaluating new technologies and proposing improvements in terms of performance, cost,

scalability, and maintainability.

• Coordinating complex data initiatives, managing estimates, risks, dependencies, and key technical decisions.

• Participating in consulting activities, solution definition, technical proposals,

and pre-sales processes.

• Contributing to the evolution of capabilities, standards, reference frameworks, and best practices within the Data discipline.

• Teamwork and multidisciplinary collaboration.
• Excellent communication and influence skills.
• Ability to interact with technical profiles, business teams, and executive stakeholders.
• Consultative mindset and client orientation.
• Ability to define strategies and translate business needs into Data solutions.
• Technical leadership and team mentoring.
• Documentation and technical communication skills.
• Proactive and results-oriented mindset.
• Interest in sharing knowledge and contributing to the growth of the Data practice.