Data Architect

Every day, we get opportunities to make a positive impact – on our colleagues, partners, customers, and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water, and shipping.

As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too.

About The Job

As a Data Architect, you will shape the future architecture of Alfa Laval’s Global Data & Analytics Platform. You will work across business domains, source systems, data products and technical teams to create a connected, scalable and governed data landscape. Combining strategic architecture with hands‑on data modelling, you will assess the current landscape, define the target architecture and help teams bridge the gap between the current and future states.

Alfa Laval’s global data landscape spans research and development, sales, service, operations, supply chain, finance, HR and sustainability, with data distributed across multiple source systems and structures. You will collaborate with business stakeholders, enterprise and solution architects, data product teams, developers and platform engineers to establish common standards, models and architectural principles. Your work will make enterprise data easier to find, understand, integrate and reuse, creating a scalable foundation for reporting, analytics, digital products and AI.

Key Responsibilities

• Define and drive a coherent data architecture for Alfa Laval’s Global Data & Analytics Platform—creating one connected architectural direction across business domains, systems, products and value streams, including ERP, CRM and domain-specific solutions.
• Establish and promote common architectural principles, standards and guardrails for data modelling, governance, integration, interoperability, security, quality, scalability and reuse across the platform.
• 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, supporting common definitions and enabling data to be used across multiple analytics and business use cases.
• Translate business requirements into enterprise-level data architecture, ensuring that data products and platform capabilities align with the overall architecture rather than creating isolated solutions.
• 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 support across organizational boundaries.
• Collaborate with other architects and evaluate technologies to ensure the platform can support future analytics, AI and digital business needs.

Who Are You

You are a strategic and hands‑on data architect who is comfortable working with ambiguity, navigating complex organizations and making decisions with incomplete information. You are pragmatic and structured, with a focus on implementable outcomes and long‑term business value. Rather than creating isolated solutions, you are motivated by building reusable capabilities that can support the organization over time. You are curious and forward‑looking, while remaining grounded in practical delivery.

You build strong working relationships with business and technical stakeholders and are comfortable working with people at different levels and in different disciplines. You explain complex architectural topics clearly and practically, facilitate discussions, create alignment across organizational silos, and use communication and influencing skills to drive change. You are collaborative and approachable, while also being prepared to constructively challenge existing assumptions and approaches when this helps create better outcomes across a global, matrixed organization.

What You Know

To succeed in this role, you bring strong experience in data architecture and modelling, combined with the technical expertise needed to shape and implement scalable cloud‑based data platforms. We believe you have:

• 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