




Job Summary: Noesis is seeking a professional to model business requirements into data, design data architectures, and ensure the operational health of pipelines and datasets. Key Highlights: 1. Advanced data modeling (tabular, columnar, graph, time series) 2. Design and implementation of reference data architectures 3. Focus on data governance, security, and platform optimization Noesis seeks professionals with the following profile: **Responsibilities**: * Model business requirements \- data-oriented \- into normalized, denormalized, star-schema, or other data models aligned with objectives; * Model business requirements into non-tabular data models: columnar, graph, geospatial, time series, document; * Model business requirements including data streams and integrations (schema API, CRUD API); * Design data models and data architectures to meet qualitative requirements: cost, write performance, indexed get queries, scans, feature retrieval (advanced analytical queries), and usage elasticity (scale up, scale\-out, pause); * Design and implement reference data architectures according to enterprise data management strategy requirements; * Design and implement blueprints for organizational data frameworks defining how data is acquired, stored, consumed, integrated, and managed to enrich enterprise Data Lakes, MDUs, and Data Marts; * Define DataOps adoptability metrics organized across three dimensions: * 1\) Pipeline operational health (duration, latency, retries, time between subsequent executions); * 2\) Dataset-level health (availability, freshness, volume, schema changes); * 3\) Data-level health (profiling within "expectation envelope", outlier and anomaly detection, data drift, and business rule enforcement); * Ensure technical capabilities (e.g., scalability, security, performance, data recovery, reliability, etc.); * Apply best practices in data governance and data security: data catalog, data lineage, data quality, master data management, metadata management, data standards; * Prepare business process reports; * Perform corrections and improvements to the Celonis platform; * Conduct technical analysis of functionalities for inclusion of new processes in Celonis. **Requirements**: * Bachelor’s degree in Software Engineering, Computer Engineering, or equivalent; * Over 5 years of experience as a Data \& AI Platform / Solution Architect Specialist; * Up-to-date knowledge of databases and analytical technologies, including datalake / lakehouse architectures and NoSQL storage; * Experience with Cloud Platforms (one or more: AWS, Google, Azure); * Knowledge of data governance and data security practices; * Knowledge of Machine Learning, statistical algorithms and models (e.g., classification, time series analysis, regression, …); * Experience in metadata management, data catalogs, data standards, and best practices in master data management; * Experience with BigData databases (one or more: BigQuery, Azure Synapse, AWS RedShift, Cassandra, Couchbase, HDFS); * Certification – CELONIS; * Proven experience in technological implementations – CELONIS; * Knowledge of the Energy \& Utilities market and GDPR; * Ability to work collaboratively in global teams; * Critical analytical skills focused on problem solving; * Knowledge of Agile methodology, JIRA and Confluence tools (valued); * Language proficiency (written and spoken): English (mandatory), Portuguese (valued), Spanish (valued). If you meet these criteria and wish to join an innovative organization that continuously invests in developing its talent, submit your application here \> Data \& AI Platform/Solution Architect Master **Join us. Let’s innovate together!** All our recruitment and selection processes are based on equal opportunity principles, valuing the competence and potential of each individual and ensuring no candidate is discriminated against on the basis of gender, ethnicity, sexual orientation, age, religion, or physical condition. * Ad published under Law No. 4 / 2019, of January 10 The original ad can be found at: https://www.itjobs.pt/oferta/506194/data\-ai\-platform\-solution\-architect\-master


