Data Architect

EUROPEAN DYNAMICS

. Develop and execute the organization’s data strategy and architecture aligned with business objectives .

Posted 9/30/2026full-timeRemote • Belgium, Poland, Romania, Czechia, Greece, ItalySeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and executing data strategies and architectures that align with business objectives, while ensuring data governance, quality, and security. Proficient in designing scalable cloud and hybrid data platforms and integrating diverse data sources.

Highest-signal resume keywords

Data ArchitectureETL/ELT DevelopmentSQL AnalysisCloud Data PlatformsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData IntegrationPerformance OptimizationData ProfilingData CleansingMetadata ManagementData LineageData CatalogingTroubleshootingData Lifecycle Management

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

Azure SynapseDatabricksMicrosoft FabricSnowflakeAmazon RedshiftCollibraAlationAzure PurviewOpenLineage

Certifications & Qualifications

TOGAFCDMPDAMA-DMBoK

Industry Keywords

Enterprise Data ArchitectureBusiness IntelligenceData WarehousingBig DataData PrivacyRegulatory Standards

Tech Stack

Tools & technologies

Amazon RedshiftAzureCloudETLSQLVault

About the role

Key responsibilities & impact

Develop and execute the organization’s data strategy and architecture aligned with business objectives
Translate business requirements into scalable data architecture, models and technical specifications
Design and manage data models, metadata, lineage and data catalogs
Architect and integrate batch and real-time data pipelines across diverse sources and platforms
Establish and enforce data governance, quality, security, privacy and regulatory standards
Design and deploy scalable cloud and hybrid data platforms, optimizing performance and cost
Implement data profiling, validation, cleansing and lifecycle management processes
Monitor, troubleshoot and optimize data platforms, pipelines and infrastructure
Collaborate with business leaders, engineers and data scientists to deliver data solutions
Lead data architecture initiatives and mentor teams on standards, tools and best practices
Evaluate emerging data, cloud, big data and AI technologies and recommend relevant solutions
Provide expert services remotely while integrated into the company team collaborating closely with a major client’s on-site IT team

Requirements

What you’ll need

University degree in IT or relevant discipline
Minimum 12 years of relevant working experience
At least 2 years of experience in enterprise data architecture and platform assessment, including BI, data and integration environments
At least 2 years of hands-on experience with enterprise relational databases/DWH, including SQL analysis, troubleshooting and performance optimization
At least 2 years of hands-on experience with ETL/ELT and data integration tools, developing, adapting and troubleshooting pipelines
At least 2 years applying data modelling across conceptual, logical and physical layers, including 3NF, Data Vault and dimensional/star-schema approaches
At least 1 year involved in enterprise data/BI/DWH migrations
Experience with metadata and cataloguing platforms such as Collibra, Alation, Azure Purview or OpenLineage
Experience with cloud data platforms such as Azure Synapse, Databricks, Microsoft Fabric, Snowflake or Amazon Redshift
One of TOGAF, CDMP, DAMA-DMBoK or an equivalent certification mandatory
Excellent command of English

Benefits

Comp & perks

Competitive remuneration based on qualifications and experience
Option of contract basis or remuneration with full benefits package
Opportunity to work as part of a team serving a major European Institution
International, multilingual and multicultural work environment
Equal Employment Opportunity commitment