Senior Data Architect

What we offer you Within the Data & Analytics division we are looking for a Senior Data Architect to be included in the Sales Business Line who has developed specific expertise in data architecture design, with particular focus on the Data & Analytics area. What will your activities and responsibilities be? You will be responsible for managing client proposals and business development. You will lead the definition of complex technical and economic solutions, collaborating with consultants and partners to respond to customer needs and maintain consistency with the company strategy. In particular, you will take care of the following activities: • Design data architectures for analytical purposes, addressing all issues related to data governance, security and profiling; • Create and develop technical proposal documents, ensuring compliance with defined times and budgets; • Assess risks and identify risk mitigation actions; • Manage the Cost/Price model of the proposal; • Produce assets and materials to support future proposals based on the evolution of the portfolio/market and customer needs; • Indicate methodologies and best practices in the Data & Analytics field. Required qualifications and skills Required qualifications: • Many years of experience in the design of Data & Analytics solutions, with particular focus on architecture and distributed design, using various commercial solutions and main CSPs (Azure, AWS, Google); • Proven pre-sales experience in different technological contexts, including the Data & Analytics field (Data Architecture, Data Modeling, Data governance, Business Intelligence, Data Visualization, Machine Learning / Artificial Intelligence); • Degree in STEM disciplines;

• Good knowledge of the English language; • Excellent ability to learn and proactively adapt. Preferred additional skills • Knowledge of the main methodologies and reference frameworks, both in the Data&Analytics field and in the project/service management field (e.g. DataOps, DevOps, Agile, CRISP-DM, DMBoK, DataVault, ITIL, COBIT, SAFe, PMP, PRINCE2, etc. ) • Knowledge of data quality measurement issues and models (e.g. ISO 8000-1:2022) • Effective certifications in the Data & Analytics field on the major CSPs (AWS, Azure, Google) • Certifications on the main products in the Data & Analytics field • Experience in creating data analysis services in SaaS mode • Knowledge of Privacy and GDPR regulations; • Knowledge of data security issues; • Experience in collaborating with partners, third parties and Service Providers; • Experience and ability to develop estimation and cost/pricing models to quote and evaluate projects, services and solutions with sensitivity to market value.