Bażiku

Data Architect

roma, lazio, Italy Kumpanija: JR Italy Klijent / Impjegatur: DER Touristik Suisse AG
Ippubblikat: 19.05.2026
Data tal-għeluq: 03.07.2026
Referenza tax-xogħol: 3e573cbaa068b800ea6f3cd7c46d21cc

Informazzjoni dwar ix-xogħol

Post
roma, lazio, Italy
Kumpanija
JR Italy
Klijent / Impjegatur
DER Touristik Suisse AG
Referenza tax-xogħol
3e573cbaa068b800ea6f3cd7c46d21cc
Tip ta' lista
Bażiku
Permess tax-xogħol tal-UE meħtieġ
Le
Ippubblikat
19.05.2026
Data tal-għeluq
03.07.2026

Deskrizzjoni tax-xogħol

About Kuoni Tumlare

Kuoni Tumlare is a Destination Management Company, part of JTB Group who deliver travel solutions and experiences that create value for our Partners and Society. We’re a fun group, we value our employees’ contributions and opinions, and strive to develop talent internally. The travel industry is dynamic, exciting, and adaptable with many interesting opportunities to explore.

Role Overview

The Data Architect is responsible for the design, development, and maintenance of the organization’s data architecture. This role ensures that data is high-quality, consistent, secure, well-structured, and effectively utilized across systems and processes. The Data Architect collaborates closely with software developers, business analysts, data analysts, and database administrators to design data models, integrations, and data flows. This role will be a critical part of our project team and working on a global, enterprise level, high budget project delivered over the next 2 years.

Key Responsibilities
  • Design and maintain the enterprise data architecture, including data models, standards, and principles.
  • Define and manage logical and physical data models in line with business and technical requirements.
  • Design data flows, integration layers, and interfaces between systems (ETL/ELT processes, APIs, message queues).
  • Contribute to the design and maintenance of data warehouses, data lakes, and analytical platforms.
  • Implement data governance principles – management of data domains, metadata, data quality, and reference data.
  • Collaborate with security and compliance teams to ensure data protection and GDPR compliance.
  • Support the development of data strategy and data culture across the organization.
  • Document data structures, standards, and methodologies.
  • Provide expert guidance to projects in the area of data layer design.
Technical
  • Strong knowledge of data modeling (conceptual, logical, physical; 3NF, star schema, snowflake).
  • Expertise with relational databases (MS SQL, Oracle, PostgreSQL, etc.) and modern data platforms (Azure, AWS, GCP).
  • Experience with ETL/ELT tools (e.g., SSIS, Talend, Informatica, dbt, Synapse, Data Factory).
  • Familiarity with data governance, master data management (MDM), and metadata management.
  • Understanding of integration architectures (REST, SOAP, messaging, event streaming – e.g., Kafka).
  • Advantage: Experience with data modeling tools (Erwin, PowerDesigner, ArchiMate, Enterprise Architect, dbdiagram.io, PlantUML).
  • Advantage: Familiarity with BI and analytics tools (Power BI, Tableau, Qlik).
General
  • Strong analytical and systems thinking.
  • Ability to design scalable and maintainable solutions.
  • Excellent communication skills with both technical and business stakeholders.
  • Experience in leading or coordinating data-related projects is an advantage.
What we offer
  • Global Brand: Opportunity to work in an international environment
  • Stability: 100 Years at the top of our field and still pushing into new territory
  • Progression: We reward high performers and look to promote key talent internally
  • Learning and Development opportunities for growth and Upskilling
  • A Supportive Management Culture and autonomous working environment
  • Company Wide Bonus Scheme
  • Dedicated Employee Engagement Activities
  • Flexible & Hybrid Working
  • Annual Awards and Recognition for high Performers
  • Friendly and Collaborative work environment
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Ħiliet

ABAP Agile Project Management AJAX analyse big data analyse business requirements APL apply ICT systems theory apply statistical analysis techniques apply technical communication skills ASP.NET Assembly (computer programming) assess ICT knowledge build business relationships Business Analytics Business Intelligence business process modelling C CA Datacom/DB cloud technologies COBOL CoffeeScript collect ICT data Common Lisp computer programming create data models create data sets create database diagrams create software design Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data storage data visualisation software Database database development tools database management systems DB2 define data quality criteria define database physical structure define technical requirements deliver visual presentation of data design database backup specifications design database in the cloud design database scheme develop automated migration methods digital data processing documentation types Erlang establish data processes execute analytical mathematical calculations Filemaker (database management systems) Game Theory gather data for forensic purposes Groovy Hadoop handle data samples Haskell Healthcare Analytics IBM Informix ICT project management methodologies ICT security legislation image recognition implement data quality processes Information Architecture information categorisation information confidentiality Information Extraction information structure integrate ICT data interpret current data Java (computer programming) JavaScript LDAP lean project management LINQ Lisp make data-driven decisions manage cloud data and storage manage data manage data collection systems manage database manage quantitative data manage standards for data exchange Marketing Analytics MarkLogic Matlab MDX Microsoft Access Microsoft Visual C++ migrate existing data ML (computer programming) multidisciplinary research MySQL N1QL normalise data Objective-C ObjectStore online analytical processing OpenEdge Advanced Business Language OpenEdge Database operate relational database management system Oracle Relational Database Oracle WebLogic Pascal (computer programming) perform data analysis perform data cleansing perform data mining perform resource planning Perl PHP PostgreSQL Process-based management Prolog (computer programming) Python (computer programming) query languages R report analysis results Research Design resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) Social Network Analysis SPARQL SQL Server statistical modeling techniques Statistics store digital data and systems Swift (computer programming) systems development life-cycle Systems Theory Teradata Database TripleStore TypeScript Unstructured Data use access control software use data processing techniques use databases use markup languages use spreadsheets software VBScript Visual Basic visual presentation techniques Web Analytics web programming write database documentation XQuery

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