Data Architect – Global Data & Analytics Platform

Alfa Laval

. Define and drive a coherent data architecture for Alfa Laval’s Global Data & Analytics Platform across business domains, systems, products and value streams .

Posted 10/23/2026full-timeLund • SwedenMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and implementing enterprise-level data architecture, focusing on cloud-based solutions, data governance, and integration patterns. Proven ability to collaborate with stakeholders and technical teams to drive data architecture initiatives across multiple business domains.

Highest-signal resume keywords

Data ArchitectureCloud-Based Data SolutionsData ModellingData IntegrationMicrosoft Azure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData ModellingData IntegrationData GovernanceData QualityMetadata ManagementData SecurityEnterprise Data PlatformsCloud-Based Data ArchitectureData Transformation

Soft Skills

CollaborationStakeholder EngagementProblem SolvingCommunication

Tools & Technologies

Microsoft AzureDatabricksUnity CatalogSQLPythonPySparkPower BI

Industry Keywords

Enterprise Data ArchitectureData MeshAnalyticsMachine LearningAI Use CasesERPCRMSupply ChainFinanceManufacturing

Tech Stack

Tools & technologies

AzureCloudERPPySparkPythonSQLUnity

About the role

Key responsibilities & impact

Define and drive a coherent data architecture for Alfa Laval’s Global Data & Analytics Platform across business domains, systems, products and value streams
Establish and promote architectural principles, standards and guardrails for modelling, governance, integration, interoperability, security, quality, scalability and reuse
Assess the current landscape, identify gaps and dependencies, and define the target architecture and roadmap
Create and maintain consistent, reusable data models across business domains
Translate business requirements into enterprise-level data architecture
Work hands-on with architects, data engineers and developers to implement data models, integration patterns and shared platform capabilities
Partner with business and technical stakeholders to align priorities, explain architectural decisions, resolve trade-offs and build organizational support
Collaborate with architects and evaluate technologies supporting analytics, AI and digital business needs

Requirements

What you’ll need

At least five years of experience in data architecture, enterprise data architecture, data platform architecture or a related senior data role
Proven experience designing and implementing modern cloud-based data and analytics architectures in enterprise environments, preferably using Microsoft Azure and Azure data services
Strong experience in conceptual, logical and physical data modelling
Ability to balance platform standardization with domain autonomy
Experience designing data integration, transformation and orchestration solutions, including enterprise integration patterns and cross-system data flows
Experience defining target architecture, architectural principles, standards and implementation roadmaps
Experience with enterprise data platforms and data products, including data mesh or similar distributed data concepts
Hands-on experience with Databricks, Unity Catalog, SQL, Python/PySpark and Power BI, or similar tools
Experience with data governance, access models, data quality, metadata management and data security
Experience working across multiple business domains, products or value streams
Experience working with technical delivery teams and senior business stakeholders
Fluent English, written and spoken
Experience across ERP, CRM, supply chain, finance or manufacturing is advantageous
Experience supporting analytics, machine learning or AI use cases is advantageous
Experience with cloud-based data platforms, particularly Microsoft Azure, is advantageous
Experience in a large, global and matrixed organization is advantageous

Benefits

Comp & perks

Inclusive and dynamic workplace valuing diverse perspectives and experiences
Background checks on final candidates
Alcohol and drug testing during pre-employment for candidates in Sweden