Data Architect - Global Data & Analytics Platform

Teknik, data och digitalt · Data, AI och analys · Data engineering · Datavetenskap · Mjukvaruutveckling

I korthet

Alfa Laval is seeking a Data Architect to define and drive the architecture for their Global Data & Analytics Platform. This role involves hands-on data modelling, establishing standards, and collaborating with stakeholders to create a scalable and governed data landscape for reporting, analytics, and AI.

Ansvarsområden

Define and drive a coherent data architecture for the Global Data & Analytics Platform.
Establish and promote common architectural principles, standards, and guardrails for data modelling, governance, integration, interoperability, security, quality, scalability, and reuse.
Shape the target architecture and roadmap by assessing the current landscape, identifying gaps and dependencies, and defining practical steps towards a unified future state.
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, and resolve trade-offs.
Collaborate with other architects and evaluate technologies to ensure the platform can support future analytics, AI, and digital business needs.

Krav

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.
Experience defining target architecture, architectural principles, standards, and implementation roadmaps.
Experience working 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 both technical delivery teams and senior business stakeholders.
Fluent English, both written and spoken.

Önskade kvalifikationer

Experience working across business domains such as ERP, CRM, supply chain, finance, or manufacturing.
Experience supporting analytics, machine learning, or AI use cases.
Experience with cloud-based data platforms, particularly Microsoft Azure.
Experience in a large, global, and matrixed organization.

Förmåner

Opportunities for personal growth.
Building careers while shaping a more resourceful, less wasteful world.
Inclusive and dynamic workplace that values diverse perspectives and experiences.

Färdigheter

AzureDatabricksUnity CatalogSQLPythonPySparkPower BIdata modelingdata governancedata integrationdata qualitymetadata managementdata securityERPCRM

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Om Alfa Laval

Our pioneering 140-year-old start-up culture is built on the idea that partnership is the key to solving complex problems and unlocking the full potential of resources. So we collaborate closely with our partners, customers, and thought leaders to create game-changing solutions that challenge conventional thinking on quality, efficiency, and innovation. United by a shared commitment to creating positive impact we’re reshaping vital industries, like energy, food, water, and shipping, to optimize efficiency, reduce emissions, and increase yields. Together, we’re building business success,…

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