AI Solutions Architect Lisboa

AI Solutions Architect
Lisboa
Lisboa, Lisboa, Portugal

Do you want to make your career goals in IT and Telecoms a reality? You've come to the right place, Smart!

Transformation, adaptability and innovation are part of our DNA.

We're passionate about technology and we want to be part of your story.

Do we share the same passion? You've come to the right place, to Smart!

Be Genius, Be Smart!

What do you need to be a SMART Data&AI Platform/Solution Architect?

• At least 15 years of experience in a similar role or in a contractual service environment;
• Degree in Software Engineering, Computer Engineering, or a related field;
• Up-to-date knowledge of databases and analytical technologies, including Data Lake/Lakehouse architectures and No
  SQL storage;
• Experience in Big Data platforms such as Big
  Query, Azure Synapse, AWS Red
  Shift, Cassandra, Couchbase, or HDFS;
• Hands-on experience with cloud platforms (one or more: AWS, Azure, Google Cloud);
• Strong knowledge of data governance and data security best practices;
• Experience in metadata management, data catalogs, data standards, and Master Data Management;
• Solid understanding of Machine Learning, statistical models (classification, regression, time series analysis), and algorithms;
• Strong analytical and
  - solving skills;
• Excellent written and verbal communication skills;
• Experience working in collaborative environments with global teams;
• Fluency in English (mandatory); Portuguese and Spanish (valued);
• Understanding of the Energy & Utilities market and GDPR regulation;
• Knowledge of Agile methodology and tools such as JIRA and Confluence (valued);
• Strong commitment to
  - quality deliverables;
• Experience in strategic projects and complex data architectures;
• Celonis certification is needed;
• Must be a local resource (Portugal).

Your duties will include:

• Modeling business requirements into normalized, denormalized, star schema, or other data models tailored to business goals;
• Modeling data beyond tabular forms, including columnar, graph, geographic,
  - series, and
  - based structures;
• Designing
  - driven data streams and API integrations (Schema APIs, CRUD APIs);
• Defining and implementing data architectures that meet qualitative requirements: cost, performance (writes/gets/scans/advanced queries), and elasticity (scale up/out, pause/resume);
• Designing and applying reference data architectures aligned with the company’s data management strategy;
• Creating blueprints for organizational data frameworks—how data is collected, stored, consumed, integrated, and governed across Data Lakes, MDU, and Datamarts;
• Defining observability indicators for Data
  Ops:
• Pipeline health: duration, delays, retries, intervals;
• Dataset health: availability, freshness, volume, schema changes;
• Data health: profiling, outlier/anomaly detection, data drift, and business rule validation;
• Ensuring technical capabilities such as scalability, security, performance, recovery, and reliability;
• Applying best practices for data governance and data security including cataloging, lineage, data quality, metadata management, and master data management;
• Ensuring regulatory compliance in data usage and architecture standardization;
• Preparing business process reports and providing corrections and improvements to the Celonis platform;
• Conducting technical and functional analyses to integrate new processes in Celonis.

What will you find at SMART?

• A dynamic,
  - working, and
  - operative team;
• Career plan and clearly defined objectives;
• Initial and ongoing training - SMARTUP;
• Follow-up meetings and performance appraisals;
• Business bonuses;
• Personal and family benefits;
• Numerous events, partnerships, and internal dynamics.

If you are interested, send your CV to tvillasboas@smartconsulting. pt