DATA & AI PLATFORM SOLUTION ARCHITECT SPECIALIST (HYBRID) Lisboa

Overview

DATA & AI PLATFORM SOLUTION ARCHITECT SPECIALIST (HYBRID) role at i
TRecruiter. Portuguese company hires for hybrid work. Locations: Lisbon - Portugal. Working Model: Hybrid (3 times per week in Client). Language Requirements: English fluent and Portuguese and Spanish (nice to have). Seniority: 15+ years of experience in the role required for the service to be contracted. Instructions: Please send your CVs in English and include all skills and experience that match the requirements of the opportunity.

Responsibilities

• We are seeking a highly skilled and visionary Data & AI Platform/Solution Architect to lead the design and implementation of advanced data architectures and AI-driven solutions. This strategic role will model complex business requirements across diverse data paradigms, ensuring scalable, secure, and
  - performance data ecosystems aligned with organizational goals.
• Model business requirements into standardized, denormalized, star schema, or other data models as appropriate
• Design data models beyond tabular: columnar, graph, geographic, time series, and
  - based models
• Model business requirements involving data streams and integrations (schema APIs, CRUD APIs)
• Design data architecture optimized for qualitative aspects: cost, write/read performance (indexed queries), advanced analytics queries, scalability (scale up, scale out, pause)
• Design and implement reference data architectures aligned with data management strategy
• Develop a blueprint for an enterprise data framework covering data ingestion, storage, consumption, integration, and management to enrich Data Lakes, MDUs, and Data Marts
• Define Data
  Ops observability indicators in three dimensions: Operational health of data pipelines (duration, delays, retries, frequency), Dataset-level health (availability, freshness, volume, schema changes), Data-level health (profiling, anomaly detection, data drift, business rule enforcement)
• Operational health of data pipelines (duration, delays, retries, frequency)
• Dataset-level health (availability, freshness, volume, schema changes)
• Data-level health (profiling, anomaly detection, data drift, business rule enforcement)
• Ensure technical requirements: scalability, security, performance, data recovery, and reliability
• Apply best practices in data governance and security: data catalog, data lineage, data quality, master data management, metadata management, data standards
• Align enterprise architecture with systems, data, and technology architecture and the broader business vision
• Ensure standardized designs comply with regulatory requirements for data usage (e. g. , GDPR)
• Prepare business process reports
• Implement enhancements and corrections in the Celonis platform
• Conduct functional and technical analyses for adding new processes to Celonis

Must Have / All of the following must be clearly listed on your CV

• Degree in Software Engineering, Computer Engineering, or a related field
• Minimum 15+ years of experience in the role
• Strong written and verbal communication skills
• Deep understanding of the Energy & Utilities sector and GDPR
• Critical thinking and
  - solving abilities
• Collaborative mindset to work with global teams
• Experience in strategic projects
• Knowledge of Agile methodology (JIRA, Confluence valued)
• Commitment to delivering
  - quality work
• Cloud platforms experience (AWS, Azure, Google Cloud)
• Advanced data architecture skills: data lakes/lakehouse, No
  SQL storage
• Data modeling expertise: star schema, denormalized, columnar, graph, geographic, time series, document
• Integration with data streams, schema APIs, CRUD APIs
• Experience with Big Data databases: Big
  Query, Azure Synapse, Red
  Shift, Cassandra, Couchbase, HDFS
• Solid knowledge of Machine Learning and statistical models (classification, regression, time series, etc. )
• Experience in metadata management, data catalogs, data standards, and master data management
• Strong background in data governance, data lineage, and data quality frameworks
• Implement data stewardship to ensure comprehensive data scanning and lineage
• Ensure unified data governance policies and alignment with regulatory standards
• Develop business glossaries in collaboration with data owners, mapping to data assets for curated data catalogs
• Deliver centralized training and communication strategies for consistent adoption of data governance practices
• Monitor and improve data quality, consistency, and policy adherence across the organization
• Proficiency in English (written and spoken)
• DAMA certification is valued

Do NOT consider: CELONIS certification or proven experience in CELONIS technology implementations as a
- have

Nice To Have

• Proficiency in Portuguese and/or Spanish

Top Skills

• Data architecture design (performance, scalability, elasticity)
• Data modeling across multiple paradigms
• Data integration and streaming
• Reference architectures (Data Lakes, MDUs, Data Marts)
• Data
  Ops observability
• Cloud platforms & Big Data technologies
• Machine Learning & statistical modeling
• Metadata management & data catalogs
• Master data management & data stewardship
• Regulatory compliance (GDPR)
• Enterprise architecture alignment
• Business process reporting
• Agile methodology (JIRA, Confluence)
• Collaboration with global,
  - functional teams
• Strategic project leadership
• Training and communication strategies
• Business glossary development
• Deep knowledge of the Energy & Utilities sector
• Experience enhancing and analyzing processes in the Celonis platform

Seniority level

• Not Applicable

Employment type

• Other

Job function

• Other

Industries

• Human Resources