Descrizione dell'offerta
IT Solution Architect and Operation – Digital, Data & AI Platforms
The IT Solution Architect – Digital, Data & AI Platforms contributes to the
design and operations of data-driven and AI-enabled digital solutions . The role focuses on
hands-on solution design and architecture support , working with other architects and technical teams to deliver scalable, secure, and integrated solutions across cloud and data platforms.
Responsibilities Contribute to the design of
digital, data and AI platform architectures Support technical design of
cloud-native and data platforms
(AWS, Azure, Databricks) Assist in
data pipelines, AI integration, and system interoperability Participate in
architecture reviews
and ensure compliance with standards Contribute to operation, monitoring, observability, reliability, and optimisation practices Support evaluation of
AI, GenAI, and emerging technologies Collaborate with internal teams, vendors, and partners on technical topics Translate business needs into
technical architectures
Requirements At least 3 years of experience in IT, with exposure to
cloud, data, or solution design. Bachelor’s or
Master’s Degree
in Computer Science, Information Technology, Engineering or a related discipline Experience with
AWS and/or Azure cloud-native solutions and data platforms
(e.G. Databricks) Understanding of
AI/ML, data pipelines, and analytics Understanding of security best practices Understanding of observability platforms Experience with APIs, integration, or distributed systems Experience with high performing digital web touchpoints Cloud and/or EA certifications are a plus Ability to translate business needs into technical requirements
Skills & Competencies Understanding of
solution architecture and system design Knowledge of cloud and modern data platforms Awareness of
AI/ML and data-driven architectures Analytical and problem-solving mindset Team-oriented with good communication skills Strong learning agility in emerging technologies
The expected
salary range
for this position is
between €45,000 and €55,000 gross per yea r, depending on experience and profile alignment.
design and operations of data-driven and AI-enabled digital solutions . The role focuses on
hands-on solution design and architecture support , working with other architects and technical teams to deliver scalable, secure, and integrated solutions across cloud and data platforms.
Responsibilities Contribute to the design of
digital, data and AI platform architectures Support technical design of
cloud-native and data platforms
(AWS, Azure, Databricks) Assist in
data pipelines, AI integration, and system interoperability Participate in
architecture reviews
and ensure compliance with standards Contribute to operation, monitoring, observability, reliability, and optimisation practices Support evaluation of
AI, GenAI, and emerging technologies Collaborate with internal teams, vendors, and partners on technical topics Translate business needs into
technical architectures
Requirements At least 3 years of experience in IT, with exposure to
cloud, data, or solution design. Bachelor’s or
Master’s Degree
in Computer Science, Information Technology, Engineering or a related discipline Experience with
AWS and/or Azure cloud-native solutions and data platforms
(e.G. Databricks) Understanding of
AI/ML, data pipelines, and analytics Understanding of security best practices Understanding of observability platforms Experience with APIs, integration, or distributed systems Experience with high performing digital web touchpoints Cloud and/or EA certifications are a plus Ability to translate business needs into technical requirements
Skills & Competencies Understanding of
solution architecture and system design Knowledge of cloud and modern data platforms Awareness of
AI/ML and data-driven architectures Analytical and problem-solving mindset Team-oriented with good communication skills Strong learning agility in emerging technologies
The expected
salary range
for this position is
between €45,000 and €55,000 gross per yea r, depending on experience and profile alignment.
Candidatura e Ritorno (in fondo)
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