Senior Data & AI Solution Architect at Inetum

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Data Architecture, DataOps, Anomaly Detection, Data Quality, Big Data Technologies, Machine Learning, Statistical Algorithms, Metadata Management, Data Lineage, Celonis Integration, Technical Analysis, Collaboration, Solution Design, Cloud Environments, Strategic Thinking

Industry

IT Services and IT Consulting

Description

Company Description Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023. Job Description We are seeking a highly experienced and strategic Senior Data & AI Solution Architect to lead the design and implementation of advanced data architectures and analytics platforms. This role will be instrumental in shaping strategic Data & AI initiatives, ensuring scalable, secure, and high-performance solutions. Key Responsibilities Deliverables Data Modeling & Architecture Translate business requirements into formalized data models (e.g., star schema, graph, time series, document-based). Design data stream integrations and schema APIs. Ensure performance, elasticity, and alignment with data management standards. Develop blueprints for enriching Data Lakes, Master Data Units, and enterprise Datamarts. DataOps Observability Define metrics for pipeline observability, dataset health, and data quality. Implement anomaly detection, data drift analysis, and business rule enforcement. Technical Capabilities Guarantee scalability, security, performance, and disaster recovery. Apply best practices in data engineering: cataloging, lineage, quality, metadata, and master data management. Celonis Integration Prepare business process reports. Conduct technical-functional analysis for new process inclusion. Additional Contributions Study business requirements and design solutions. Perform technical analysis of implementation proposals. Collaborate with development teams to resolve bottlenecks and ensure best practices. Deliver Solution Design Documents in Confluence. Qualifications Up to 15 years of experience in similar roles. Bachelor’s degree in Software Engineering, Computer Science, or related field. Proven experience with: Data analytics platforms and cloud environments (AWS, Azure, Google Cloud). Big Data technologies (BigQuery, Azure Synapse, AWS Redshift, Cassandra, Couchbase, HDFS). Machine Learning and statistical algorithms (classification, regression, time series). Metadata management and data lineage tools. Strong communication and interpersonal skills. Strategic thinking and delivery management capabilities. Fluency in English (mandatory); Portuguese and Spanish (preferred). CELONIS certification and proven implementation experience. Preferred Qualifications Experience in the Energy & Utilities sector, especially retail. Familiarity with SAP and/or Salesforce platforms. Knowledge of Agile methodologies and collaborative team environments. Join our Inetum Team and be part of an innovation-focused work culture!

Responsibilities

Lead the design and implementation of advanced data architectures and analytics platforms. Shape strategic Data & AI initiatives to ensure scalable, secure, and high-performance solutions.