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Data&AI Platform/Solution Architect
< Hybrid_3x >
JOB REF NO:
JOBX-AF107030
Job Description:
We are looking for a Data & AI Platform/Solution Architect with solid experience in data architecture, analytics, and artificial intelligence, to design technology solutions in a cloud environment and support strategic projects within the Energy & Utilities sector.
Responsibilities:
Design and define data, analytics, and AI architectures, ensuring integration and scalability. Collaborate with technical and business teams to define functional and technical requirements. Ensure compliance with data governance, security, and GDPR practices. Design solutions using cloud platforms such as AWS, Azure, or Google Cloud. Support the implementation of data lakes, lakehouses, and NoSQL databases. Contribute to metadata management, data catalogs, and master data management best practices. Work on strategic Data, Analytics, and AI projects with a focus on quality and business value. Act as a technical liaison between development, operations, and business stakeholders. Support Machine Learning initiatives and statistical models (classification, regression, time series, etc.).
Requirements:
Up to 15 years of experience in solution architecture roles. Degree in Software Engineering, Computer Engineering, or related field. Proven experience and certification in Celonis. Updated knowledge of analytical and Big Data databases (BigQuery, Azure Synapse, AWS Redshift, Cassandra, Couchbase, HDFS). Experience with cloud platforms (AWS, Azure, or Google Cloud). Knowledge of data governance, security, and GDPR. Proficiency in Machine Learning and statistical modeling. Experience with metadata management, data catalogs, and MDM. Familiarity with Agile methodology, Jira, and Confluence (valued). Experience in the Energy & Utilities sector (valued). Knowledge of SAP and/or Salesforce (valued). Excellent written and verbal communication skills. Fluency in English (mandatory); Portuguese and Spanish (valued).
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Av. Engenheiro Duarte Pacheco Amoreiras
Torre 1, Piso 3 S9
1070-101
Lisbon, Portugal