Alap
Principal Data Architect
Közzétéve: 18.05.2026
Zárási dátum: 02.07.2026
Munkareferenciák: 776fdd1c3a16bdc24df1d246830c438a
Munkaköri információk
Elhelyezkedés
Lausanne, Vaud, Switzerland
Társaság
TN Switzerland
Ügyfél / Munkáltató
Visium SA
Munkareferenciák
776fdd1c3a16bdc24df1d246830c438a
Listázási típus
Alap
EU-s munkavállalási engedély szükséges
Nem
Közzétéve
18.05.2026
Zárási dátum
02.07.2026
Munkaköri leírás
Title: Principal Data ArchitectType: Full-timeLocation: Barcelona or LausanneStart date: May 2026About usAt Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.We’re on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we’re all in awe of – our Visiumees.Ready to become one?RoleAs a Principal Data Architect, you will design and shape scalable, secure, and business-driven data platforms on Azure. You act as a technical reference for data architecture decisions across complex environments. You collaborate closely with engineers, stakeholders, and leadership to turn data strategy into reality.Your responsibilities will include:Design end-to-end data architectures (data platforms, pipelines, storage, analytics).Define data models, standards, and best practices for scalability and governance.Lead architectural decisions and support complex technical trade-offs.Work closely with data engineers, data modelers, analytics teams, and business stakeholders.Ensure security, performance, and cost-efficiency of data solutions.Contribute to data strategy and long-term platform evolution.RequirementsTo succeed in this role, you bring a combination of expertise, experience, and skills including:8+ years of experience in data architecture and/or data engineering roles, with exposure to complex, large-scale data platforms. Deep expertise in data architecture and data modeling, including lakehouse and modern analytics architectures. Strong experience designing and delivering scalable, cloud-native data platforms (Azure preferred). Proven ability to translate business requirements into robust, end-to-end technical solutions. Solid understanding of data warehousing, analytics, and data-driven use cases. Excellent communication skills, with experience interacting with senior-level stakeholders and leading technical discussions. BenefitsWhat we offer A competitive compensation package A yearly education budget to steep your learning curve A yearly sport budget because a fit body leads to a fit mind A flexible working culture because your work-life balance matters to us A position that enables you to have an impact on 1’000s of people, and the whole company's growth. An international, knowledgeable, and passionate team with a strong collaborative mindset Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.
Képességek
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