Energy & Utilities | AI & Data Architect

• Model business requirements (data perspective) into appropriate data models (normalized denormalized star schema etc.).
• Model business requirements using advanced data structures: columnar graph geographic time-series and document models.
• Model business requirements including data streams and integrations (schema API CRUD API).
• Design the data model and architecture to meet qualitative requirements: cost performance (writes/gets indexed queries scans feature retrieval) and utilization elasticity (scale up scale-out pause).
• Design and apply reference data architectures aligned with the data management strategy.
• Design and apply blueprints for the organizational data framework (how data is acquired stored consumed integrated and managed) to enrich DataLakes MDU and Datamarts.
• Operational Health: Pipeline duration delay retries and execution frequency.
• Dataset Health: Availability freshness volume and schema change.
• Data Health: Profiling against expectations outlier/anomaly detection data drift and business rule enforcement.
• Ensure technical functionalities including scalability security performance data recovery and reliability.
• Apply best practices for data governance and data security: data catalog data lineage data quality master data management metadata management and data standards.
• Prepare business process reports.
• Execute corrections and improvements to the Celonis platform.
• Perform technical and functional analyses for the inclusion of new processes in Celonis.
• Participate in the design of the Data & AI Big Bets program of EDP.
• Study business requirements perform solutions design and conduct technical analysis of implementation proposals.
• Collaborate closely with the development team to ensure best practices are followed and bottlenecks are resolved quickly.
• Sole Deliverable: The Solution Design document in Confluence.

Qualifications :

• Up to 15 years of experience in the role.

• Bachelors degree in Software Engineering or Computer Engineering or similar.

• Excellent written and verbal communication skills.

• Knowledge of the Energy & Utilities market and GDPR.

• Ability to work in a collaborative environment and with global teams.

• Critical analysis and problem-solving focused capacity.

• Knowledge of the Agile methodology JIRA and Confluence tools (valued).

• Commitment to quality of deliverables.

• Experience in strategic projects (valued).

• English (mandatory) Portuguese (mandatory) Spanish (valued).

• 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 algorithms and statistical models (such as classification time series analysis regression ...).

• Experience in metadata management data catalogs data standards and master data management best practices.

• Experience in BigData Databases (one or more: BigQuery Azure Synapse AWS RedShift Cassandra Couchbase HDFS).

• Proven experience in technological implementations CELONIS.

Remote Work :

No

Employment Type :

Full-time